Sprint 003 findings + Sprint 004 pipeline decision audit plan

- split_prereq_op_dataset.py: extract accepted/rejected/schema-drift rows per gate
- gen_prereq_op_rsa_data.py: convert accepted rows to Fabricate TSV format
- 1000-run extracted dataset: 1297 accepted prereq_op rows, 24 schema-drift
- Key finding: needs_validate_intake always True; effective gate is binary
  (needs_resolve_dependencies 77%, needs_architect_review 20%)
- Key finding: run corpus text is template-driven (17 unique inputs) — not
  suitable for text-based training; RSA exists before ideal input is available
- ROADMAP: gate lifecycle framing — goal is choice of backend, not forced
  determinism; RSA operates on imperfect/mixed/incomplete input by design
- training_data_strategy.md: taskitem-as-self-contained-work-unit constraint
- SPRINT-003: updated with 1000-run results, text audit findings, design constraints
- SPRINT-004: pipeline decision audit — manual walkthrough of every decision
  from project description to generated artifact; execute next session

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

HANDOFF-2026-04-12-session2.md

@@ -0,0 +1,127 @@
+# Handoff: RSA Session 2 — 2026-04-12
+
+## What Was Done
+
+### Extraction and dataset split
+
+- Built `tools/split_prereq_op_dataset.py`
+  - splits extracted gate rows into accepted / rejected / schema-drift buckets
+  - for `prereq_op_selector` only
+
+- Ran `extract_gate_rows.py` over 1000 runs (from 50-run slice)
+  - 1297 accepted rows, 24 rejected (all schema-drift)
+  - outputs at `semantic/prereq_op_dataset_1000/`
+
+- Built `tools/gen_prereq_op_rsa_data.py`
+  - converts accepted rows to Fabricate TSV format
+  - outputs at `semantic/prereq_op_tsv/`
+
+### Key findings from dataset analysis
+
+**`needs_validate_intake` is always True** (1297/1297 accepted rows).
+It is a constant, not a decision surface. Drop it from the label space.
+
+**Effective gate is two binary classifiers:**
+- `needs_resolve_dependencies`: 997/1297 = 76.9% positive
+- `needs_architect_review`: 257/1297 = 19.8% positive
+
+**Text features are useless from run corpus.**
+Only 17 unique texts across 1297 rows — the corpus uses ~18 canonical intake spec
+templates. Every task generated from the same intake shares the same context text.
+The discriminative signal (step description) is not stored in run artifacts.
+
+**Schema-drift variants found:**
+- tool-ID drift: `whetstone_generate_taskitems` etc. in `prerequisiteOps` (12 rows)
+- `manual-approval` drift: undocumented op name in `prerequisiteOps` (12 rows)
+Both are salvageable (valid bits are correct), recommended to hard-filter for now.
+
+### Training baseline
+
+Sprint plan data (204 examples, 36 eval) split into two binary TSVs and trained:
+
+| Specialist | best_acc | steps |
+|------------|----------|-------|
+| `prereq_review` (needs architect_review) | 75.0% | 4000 |
+| `prereq_approval` (needs manual_approval) | 69.4% | 4000 |
+
+These are weak baselines — small dataset, heuristic labels, wrong gate framing
+(approval ≠ resolve_dependencies). Not production-ready.
+
+## Architectural Insights Captured (Most Important Part of This Session)
+
+### 1. Intake contract
+
+The original design intention is that external tools (HiveMind, gleaner, etc.)
+submit project descriptions in a **structured contract format** that explicitly
+carries decision-relevant fields. The current corpus predates this contract.
+
+With the contract, every project submission is a varied, labeled training example
+with known discriminative fields. Without it, the intake produces ~18 template
+outputs regardless of project.
+
+Reference: `project.json` manifests are the closest existing contract artifact.
+The `llm_touchpoints` array with `determinism_score` is the RSA entropy signal.
+
+### 2. Taskitem as self-contained work unit
+
+A taskitem is a concurrent work unit. By design it must include all information
+the specialist needs. The specialist does not reach back to the original spec.
+
+**This means the taskitem schema must carry discriminative RSA fields.**
+`generate_taskitems` populates them; the RSA gate reads them from the taskitem.
+
+The current schema lacks these fields — that is why the run corpus has weak text.
+
+Adding RSA-relevant fields to the taskitem schema is the **prerequisite** for
+collecting real training data at scale.
+
+### 3. Contract can collapse RSA gates to deterministic
+
+If the contract carries `architectural_surface`, `cross_component_deps`,
+`security_sensitive` etc. explicitly, some gates that currently require ML become
+deterministic rules. The RSA entropy threshold shifts as the contract gets richer.
+
+## What Is Recorded Where
+
+| Finding | Location |
+|---------|----------|
+| Sprint status + findings | `sprints/SPRINT-003-...md` (updated) |
+| Taskitem-as-work-unit constraint | `docs/case_studies/whetstone_dsl_training_data_strategy.md` |
+| Intake contract constraint | `sprints/SPRINT-003-...md` (Architectural Constraint section) |
+| Split tool | `tools/split_prereq_op_dataset.py` |
+| TSV generator (RSA-sourced) | `tools/gen_prereq_op_rsa_data.py` |
+| 1000-run extracted dataset | `semantic/prereq_op_dataset_1000/` |
+| Trained baseline checkpoints | `/mnt/storage/fabricate_runs/whetstone_prereq_review_binary/` |
+|                               | `/mnt/storage/fabricate_runs/whetstone_prereq_approval_binary/` |
+
+## What Is NOT Done (Next Session)
+
+**Execute SPRINT-004: Pipeline Decision Audit.**
+
+Full sprint document: `sprints/SPRINT-004-pipeline-decision-audit.md`
+
+The goal is a manual walkthrough of the full whetstone_DSL pipeline from raw project
+description to generated code. At every stage, record every decision being made, what
+inputs were available, and what the optimal method is (deterministic / RSA / SLM / LLM
+/ human).
+
+Current LLM calls bundle many decisions together for token efficiency. The audit
+unbundles them. `generate_taskitems` alone contains 10+ separable decisions.
+
+Output: `docs/case_studies/whetstone_dsl_pipeline_decision_map.md`
+
+This document replaces the current gate inventory as the authoritative RSA input.
+Training data collection strategy follows from it, not before it.
+
+### Start here next session
+
+Read `editor/src/mcp/RegisterArchitectIntakeTools.h` first — it is the pipeline
+entry point and its outputs constrain everything downstream.
+
+## Do Not Do Next Session
+
+- Do not run any pipeline code
+- Do not write training data generators
+- Do not train any specialist
+- Do not modify whetstone_DSL source
+- Do not collect more run artifacts until the decision map is complete

ROADMAP.md

@@ -322,17 +322,33 @@ It should not be allowed to overfit the library to one memory-management ontolog
 - add packaging and runtime loading
 - add diagnosis and recommendation APIs on top of benchmark evidence
 
+## Gate Lifecycle — The Fundamental Property
+
+RSA gates exist **before ideal input is available**. The intake may return a mix of
+structured and unstructured data, or incomplete directions. That is the design
+requirement, not a defect to fix upstream.
+
+The RSA layer gives operators **choice of backend** per gate: statistical model,
+deterministic rules, SLM, LLM, or human escalation. As the contract matures, more
+backend options become viable. Some gates may remain statistical models indefinitely
+because that is the right fit. Others may be replaced by rules. The operator decides.
+
+Abstain and escalation policies are first-class responses to weak input — not failure
+modes. A gate that correctly abstains on incomplete input is working as designed.
+
 ## Phase 5: Whetstone Integration
 
 - Expose WhetstoneDSL gates through the library.
 - Replace selected MCP bounded decisions with local specialist calls.
 - Log abstentions and misroutes for retraining and gate redesign.
+- For each deployed gate: track which backend is active and what would justify switching.
 
 ## Phase 6: Hivemind Integration
 
 - Feed gate failure data into Hivemind as entropy evidence.
 - Use Hivemind to prioritize which high-entropy gates deserve deterministic tooling.
 - Distinguish "needs a bigger model" from "needs a better tool or schema."
+- Support backend substitution per gate without changing the gate contract.
 
 ## Exit Criteria For Version 0
 

docs/case_studies/whetstone_dsl_training_data_strategy.md

@@ -173,6 +173,37 @@ The right pattern is:
 
 This should produce a gate-native dataset rather than a project-native dataset.
 
+## Taskitem as Self-Contained Work Unit — Design Constraint
+
+**Added 2026-04-12.**
+
+A taskitem is a concurrent work unit. By design it must include all information a
+specialist needs to make its gate decision. The specialist does not reach back to
+the original spec or the intake.
+
+**Consequence for RSA gate design:**
+
+The taskitem schema must carry every field that is discriminative for the gate.
+`generate_taskitems` populates those fields from the intake contract. The RSA gate
+reads those fields from the taskitem — no other context is available at decision time.
+
+**Consequence for training data:**
+
+The current taskitem schema does not carry discriminative fields for most RSA gates.
+The run corpus has weak text (17 unique templates) because the schema was designed for
+a different purpose — it records outputs, not inputs.
+
+RSA gates are designed to operate on whatever input actually exists — including
+mixed structured/unstructured content and incomplete directions. Waiting for ideal
+input is not the RSA model.
+
+The current corpus is the training corpus. Sprint plan step descriptions are the best
+available text signal now. What the gate learns from imperfect inputs, and when it
+abstains on insufficient inputs, is the gate's actual contract.
+
+Richer taskitem fields (if added) give the gate more signal and may shift it toward a
+deterministic backend — but that is operator choice, not a prerequisite for deployment.
+
 ## Compatibility Constraint
 
 We should not assume the new specialists must fit perfectly into the exact old

semantic/prereq_op_dataset/rejected.ndjson

@@ -0,0 +1,12 @@
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semantic/prereq_op_dataset/schema_drift.ndjson

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semantic/prereq_op_tsv/prereq_architect_eval.tsv

@@ -0,0 +1,194 @@
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
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+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one event; at least one event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
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+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language cpp; available libraries boost nlohmann json fmt; prefer explicit use of selected library apis in task execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy; prefer explicit use of selected library apis in task execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language cpp; available libraries boost nlohmann json fmt; prefer explicit use of selected library apis in task execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts | constraints: primary language cpp; available libraries cublas nlohmann json numpy
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts

semantic/prereq_op_tsv/prereq_resolve_eval.tsv

@@ -0,0 +1,194 @@
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one event; at least one event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one event; at least one event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language rust; available libraries axum serde tokio sqlx; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language cpp; available libraries boost nlohmann json fmt; prefer explicit use of selected library apis in task execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy; prefer explicit use of selected library apis in task execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: generate deterministic taskitems with strict execution contracts; include selected library and preferred apis per task where applicable | constraints: primary language cpp; available libraries boost nlohmann json fmt; prefer explicit use of selected library apis in task execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts | constraints: primary language cpp; available libraries cublas nlohmann json numpy
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: scenario 1 given when then; scenario 2 given when then; required artifacts and pass conditions | constraints: language runtime constraints; forbidden dependencies apis; determinism replay requirements
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express zod prisma bullmq; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language node; available libraries express prisma zod
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language java; available libraries spring boot jackson jooq flyway; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: all sprint step tests pass; no regression in existing mcp tool behavior; generated task queue is ready or blockers are explicit | constraints: follow architecture gate requirements from sprint plan; keep changes deterministic and test backed
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: depends_on_prior_tasks | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language python; available libraries fastapi pydantic sqlalchemy requests; use library apis explicitly where suitable in execution contracts
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+1	0	title: Execution Readiness Primary | reasons: high_confidence_clear_path | accepts: at least one tool selection event; at least one tool execution event; no malformed mcp payloads; no unbounded loops
+0	0	title: Intake Foundation Primary | reasons: high_confidence_clear_path | accepts: deterministic taskitems with strict execution contracts; include selected library and preferred apis when applicable | constraints: primary language go; available libraries gin sqlx zap segmentio kafka go; use library apis explicitly where suitable in execution contracts

sprints/SPRINT-003-whetstone-dsl-gate-semantic-bootstrap.md

@@ -2,7 +2,7 @@
 
 ## Status
 
-Active
+Active — pending intake contract design (see Architectural Constraint below)
 
 ## Intent
 
@@ -19,6 +19,47 @@ The output of this sprint should be concrete enough that later work can proceed
 without re-deriving what the first real gates are or how they map into semantic
 entities.
 
+## Architectural Constraint — Intake Contract
+
+**Discovered this session.** This constraint changes how RSA training data is sourced.
+
+The current whetstone_DSL run corpus predates a planned intake contract. The intended
+design is that external tools (HiveMind, gleaner, constcad, etc.) submit project
+descriptions in a **structured contract format** that explicitly carries the fields
+needed to make RSA gate decisions bounded and classifiable.
+
+Without the contract, the intake produces ~18 unique template outputs regardless of
+project. With the contract, every project submission becomes a varied, labeled training
+example with known decision-relevant fields.
+
+**Correct pipeline (with contract):**
+
+```
+External tool
+    ↓  submits structured project description (contract fields)
+Intake contract schema  ← explicit per-field semantics
+    ↓
+architect_intake  reads contract, produces normalized form
+    ↓
+RSA gates fire on contract fields  ← bounded, varied, discriminative
+    ↓
+generate_taskitems  ← deterministic given gate outputs
+```
+
+**Implications for RSA design:**
+
+- Gate input features are **contract fields**, not free-form text
+- Training data comes from **contract submissions**, not ad hoc specs
+- The current corpus is valid for label schema validation only
+- Sprint plan step descriptions remain a valid interim text source for baseline training
+- The contract schema must be defined before RSA training data can be collected at scale
+
+**Next design milestone (not this sprint):**
+
+Define the intake contract schema: what fields must an external tool provide, and which
+fields are the discriminative inputs for each immediate RSA gate (`verification_type`,
+`worker_type`, `prereq_op_selector`, `cpp_raising_profile`).
+
 ## Why This Sprint Exists
 
 `SPRINT-002-rsa-semantic-bootstrap.md` established the architectural direction,
@@ -317,9 +358,143 @@ Turn `prereq_op_selector` into the first accepted dataset slice, with:
 
 Status:
 
-- partially complete
-- `prereq_op_selector` is now represented as structured/factorized in
-  `semantic/rsa_semantic_bootstrap_v0.json`
+- **complete** for the 50-run slice
+- split produced by `tools/split_prereq_op_dataset.py`
+- outputs at `semantic/prereq_op_dataset/`
+  - `accepted.ndjson` — 94 rows
+  - `rejected.ndjson` — 12 rows (all schema-drift)
+  - `schema_drift.ndjson` — 12 rows (same set; all rejections are schema-drift)
+
+### Key Findings From Split
+
+**Label distribution (accepted rows):**
+
+| Combo | Count |
+|-------|-------|
+| validate\_intake only | 13 |
+| validate\_intake + resolve\_dependencies | 47 |
+| validate\_intake + architect\_review | 34 |
+
+**`needs_validate_intake` is always True** across all 94 accepted rows.
+
+This means:
+- `validate_intake` is not a decision surface — it is a constant output in this corpus.
+- The effective gate is a 3-way classification:
+  - `validate_only` (13 rows, 13.8%)
+  - `validate+resolve` (47 rows, 50%)
+  - `validate+architect` (34 rows, 36.2%)
+- Or equivalently, two independent binary decisions:
+  - `needs_resolve_dependencies` (47/94 = 50%)
+  - `needs_architect_review` (34/94 = 36%)
+
+**Schema-drift rows carry valid label signal.** The 12 rejected rows have correct
+`needs_*` booleans. The only issue is `source_values` contains tool IDs mixed
+with valid op names. Salvage path: re-extract only the valid op names and strip
+the tool IDs, then accept the row.
+
+### Decision Required Before Broadening
+
+Before running over more runs, decide:
+
+1. **Hard-filter or salvage schema-drift rows?**
+   - Hard-filter: discard 12 rows, keep extraction simple.
+   - Salvage: strip invalid values from `source_values`, promote to accepted.
+   - Recommendation: hard-filter for the first training run. Salvage later if
+     the accepted corpus stays small after broadening.
+
+2. **Flat 3-way vs factorized binary formulation?**
+   - Flat 3-way: treat as single multiclass with 3 outputs (ignoring validate_intake).
+   - Factorized binary: two independent classifiers for `architect_review` and
+     `resolve_dependencies`. `validate_intake` is dropped as a constant.
+   - Recommendation: factorized binary. The two decisions appear semantically
+     orthogonal in the data.
+
+### 1000-Run Extraction Results
+
+Output at `semantic/prereq_op_dataset_1000/` (1000 runs, 1321 tasks):
+
+- accepted: 1297 rows
+- rejected: 24 rows (all schema-drift)
+- schema drift variants:
+  - tool-ID drift (`whetstone_generate_taskitems`, etc.): 12 rows
+  - `manual-approval` drift: 12 rows (undocumented op name in `prerequisiteOps`)
+
+**Label distribution (1000-run accepted):**
+
+| Combo | Count | Pct |
+|-------|-------|-----|
+| validate\_intake + resolve\_dependencies | 996 | 76.8% |
+| validate\_intake + architect\_review | 256 | 19.7% |
+| validate\_intake only | 44 | 3.4% |
+| all three | 1 | 0.1% |
+
+`needs_validate_intake` remains always True at 1000-run scale.
+
+Effective gate at 1000 runs:
+- `needs_resolve_dependencies`: 997/1297 = 76.9% positive
+- `needs_architect_review`: 257/1297 = 19.8% positive
+
+Class imbalance for `needs_architect_review` (~80/20) is manageable for training.
+The `validate_intake` constant can be dropped from the label space.
+
+Both schema-drift variants are **salvageable**: valid bits (`needs_*`) are correct;
+only `source_values` contains noise. Recommendation: hard-filter for first training
+run, evaluate whether 24 extra rows are worth a salvage pass after.
+
+### Text Feature Audit — Critical Finding
+
+Attempted text composition from extracted row context fields: `title`, `reasons`,
+`normalized_requirements`. Result:
+
+- unique texts across 1297 rows: **17** (title+reasons), **18** (acceptance criteria)
+- top text appears **697 times** ("Execution Readiness Primary | high_confidence_clear_path")
+- structured features (confidence, dependency count) are also nearly constant
+
+**Root cause:** The whetstone_DSL corpus uses a small set of canonical intake specs
+(~18 unique templates) run many times. All tasks generated from the same intake share
+the same context text. The step description text — the actual discriminative feature —
+is not stored in run artifacts.
+
+**Conclusion:**
+
+The run corpus captures **labels** correctly but not the **text features** needed to
+train a text-based prereq_op specialist.
+
+The correct training data source for text input remains sprint plan step descriptions
+(as used by `gen_prereq_op_data.py` in the specialist fleet). The run corpus contributes:
+- validated label schema
+- label frequency distribution (validate-intake constant, resolve 77%, architect 20%)
+- schema-drift pattern documentation
+- corpus for future label-correction of heuristic sprint-plan data
+
+**Data strategy going forward:**
+
+| Source | Role |
+|--------|------|
+| Sprint plan step descriptions | Primary text input for training |
+| Run corpus (`accepted.ndjson`) | Label validation and frequency baseline |
+| Run corpus schema-drift rows | Schema-drift taxonomy for robustness testing |
+
+The sprint plan approach is already implemented in:
+`CLionProjects/whetstone_DSL/specialists/scripts/gen_prereq_op_data.py`
+
+That script uses keyword heuristics to assign labels. The RSA extraction work validates
+that the heuristic label schema is correct; improving label accuracy requires linking
+sprint plan steps back to run artifacts (not yet feasible).
+
+### Next Active Task
+
+Proceed to training using existing sprint plan data with the factorized binary formulation:
+
+1. Run `gen_prereq_op_data.py` to regenerate sprint plan TSVs.
+2. Split into two binary TSVs (resolve / architect) using `prereq_op_binary_split.py`.
+3. Train both specialists with `train_specialist_pt.py`.
+4. Evaluate combined accuracy against the 4-way eval set.
+
+The RSA-extracted `accepted.ndjson` dataset remains available as a label-validation
+reference and can be used for post-training audit (do sprint-plan-trained specialists
+generalize to real run labels?).
+
 - `execution_contract_shape` skeleton is now defined in
   `docs/case_studies/whetstone_dsl_execution_contract_shape_skeleton.md`
 - `target_file_selection` and `workstream_grouping` still need explicit skeleton field sets

sprints/SPRINT-004-pipeline-decision-audit.md

@@ -0,0 +1,224 @@
+# Sprint 004: Pipeline Decision Audit
+
+## Status
+
+Authored — not yet executed. Execute in the next session.
+
+## Intent
+
+Manually walk the full whetstone_DSL pipeline from raw project description to
+generated code artifacts. At every stage, identify every decision being made,
+record what inputs were available at the time of that decision, and evaluate the
+optimal method for that decision.
+
+This sprint produces a decision map, not code and not training data.
+
+## Why This Sprint Exists
+
+The current specialist fleet and RSA gate inventory were built top-down: we
+identified gate candidates from the output schema and worked backward. This sprint
+inverts that: start from the input and work forward, letting the pipeline tell us
+what decisions actually exist.
+
+The prior approach missed decisions that were collapsed into single LLM calls. A
+single call to `generate_taskitems` currently makes at minimum:
+
+- task decomposition (how many tasks, what granularity)
+- task title assignment
+- milestone grouping
+- worker type selection
+- verification type selection
+- prerequisite op selection
+- execution contract shaping
+  - target file selection
+  - acceptance command selection
+  - required tool selection
+- confidence scoring
+- ambiguity annotation
+- reason generation
+
+These are not one decision. They are 10+ decisions bundled for token efficiency.
+The audit's job is to unbundle them and evaluate each one independently.
+
+## Scope
+
+### In scope
+
+- Walk every pipeline stage from spec text to final code artifact
+- For each stage: list every decision made in that stage
+- For each decision: record inputs available, current implementation, proposed method
+- Identify decisions that are genuinely coupled vs accidentally bundled
+- Note where current inputs are insufficient and what the gate should do (abstain,
+  escalate, or decide from partial information)
+
+### Not in scope
+
+- Running any pipeline code
+- Writing training data generators
+- Training any specialist
+- Modifying any whetstone_DSL source
+- Designing gate schemas or contracts in detail
+
+## Pipeline Stages To Audit
+
+### Stage 0: Project description ingestion
+
+Raw input: a project description in some format (markdown, structured JSON, free text).
+
+Questions to answer:
+- What formats are currently accepted?
+- What decisions are implicit in accepting/rejecting an input format?
+- Is format normalization a decision or a transformation?
+- What is the minimum viable input for the pipeline to proceed?
+- What does the pipeline do when input is partial or ambiguous?
+
+### Stage 1: `architect_intake`
+
+Current implementation: single LLM call over the raw spec.
+
+Output fields to audit (each may represent a separate decision):
+- `normalizedRequirements` — which lines become requirements, which are discarded
+- `parsedSpec.goals` — goal extraction and normalization
+- `parsedSpec.constraints` — constraint extraction
+- `parsedSpec.acceptanceCriteria` — acceptance criterion extraction
+- `parsedSpec.dependencies` — dependency extraction
+- `conflictSignals` — conflict detection
+- `ambiguitySignals` — ambiguity detection
+
+For each output field:
+- What inputs does this decision use?
+- Is this deterministic given the input, or genuinely uncertain?
+- What method is appropriate (rule, RSA, SLM, LLM)?
+- What does failure or partial output mean for downstream stages?
+
+### Stage 2: `generate_taskitems`
+
+Current implementation: single LLM call over normalized requirements.
+
+Decisions to unbundle and audit individually:
+
+**Decomposition decisions**
+- How many tasks to create
+- What granularity to use
+- How to group related work into milestones
+- Whether a requirement maps to one task or multiple
+
+**Per-task assignment decisions**
+- `title` — what to call the task
+- `milestoneId` — which milestone this task belongs to
+- `workerType` — who does this work (implementer, reviewer, architect, qa)
+- `verificationType` — how to verify completion (unit, integration, schema, smoke, docs)
+- `prerequisiteOps` — what gates must clear before this task runs
+- `confidence` — how confident is the system in this task
+- `ambiguityCount` — how many ambiguous signals were present
+- `reasons` — why was this task generated
+
+**Execution contract decisions** (currently nested inside each task)
+- `targetFiles` — which files this task touches
+- `acceptanceCommands` — how to verify the task is done
+- `requiredTools` — which tools are needed
+- `crossProjectTargets` — does this task touch other projects
+- `resourceLocks` — what resources does this task need exclusive access to
+
+For each decision: same four questions as Stage 1.
+
+### Stage 3: `queue_ready`
+
+Current implementation: deterministic validation.
+
+Questions to answer:
+- Is this purely deterministic, or are there judgment calls embedded in it?
+- What validation rules exist and are they all rule-complete?
+- Are there cases where queue_ready makes a decision that should be RSA?
+
+### Stage 4: Per-task execution (`run_pipeline`)
+
+Current implementation: one LLM call per task step, given the execution contract.
+
+This stage likely contains its own collapsed decision bundle. Questions to answer:
+- What does the executor decide before writing any code?
+- What decisions are made during code generation vs before it starts?
+- What decisions are made per file vs per task?
+- How does the executor handle execution contract fields that are missing or ambiguous?
+
+### Stage 5: Verification
+
+Current implementation: runs acceptance commands, reports pass/fail.
+
+Questions to answer:
+- Is the verification decision purely mechanical (pass/fail), or is there judgment?
+- What happens when acceptance commands are absent or malformed?
+- Is there a triage decision when verification fails?
+
+## For Each Decision: What To Record
+
+Each discovered decision should be recorded as a decision record with these fields:
+
+```
+decision_id:       short unique identifier (e.g., "intake.conflict_detection")
+stage:             which pipeline stage this fires in
+inputs_available:  what information exists at decision time
+current_impl:      how it is currently implemented (LLM / rule / heuristic / none)
+output_type:       boolean / enum / structured / free-text / numeric
+output_values:     the bounded set of outputs, if applicable
+coupling:          which other decisions does this one depend on or influence
+proposed_method:   deterministic / RSA / SLM / LLM / human
+rationale:         why that method fits this decision
+rsa_notes:         if RSA: what the gate input features are, what abstain looks like
+open_questions:    anything unresolved
+```
+
+## Code Surfaces To Examine
+
+These are the primary source files for understanding what decisions currently exist:
+
+| Surface | Location |
+|---------|----------|
+| `architect_intake` tool | `editor/src/mcp/RegisterArchitectIntakeTools.h` |
+| `generate_taskitems` tool | `editor/src/mcp/RegisterTaskitemGeneratorTools.h` |
+| Taskitem generator logic | `editor/src/TaskitemGeneratorV2.h` |
+| Confidence and ambiguity | `editor/src/TaskitemConfidenceAmbiguity.h` |
+| Queue validation | `editor/src/mcp/RegisterQueueTools.h` |
+| Pipeline execution | `editor/src/mcp/RegisterPipelineTools.h` |
+| Routing | `editor/src/RoutingEngine.h` |
+| Execution contract | `editor/src/ExecutionContractBuilder.h` (if exists) |
+
+For each file: read the decision logic, not just the schema. The schema tells you
+what fields exist. The logic tells you what actually determines their values.
+
+## Output of This Sprint
+
+One document: `docs/case_studies/whetstone_dsl_pipeline_decision_map.md`
+
+Structure:
+- One section per pipeline stage
+- Within each section: one subsection per decision record
+- Summary table at the top: all decisions, their current impl, and proposed method
+
+This document becomes the authoritative input for:
+- RSA gate inventory (replaces the current incomplete inventory)
+- Training data collection strategy (once we know what inputs each gate sees)
+- Sprint 005: first gate implementation from the decision map
+
+## Acceptance Criteria
+
+- Every stage from project description to generated artifact is covered
+- Every output field of every pipeline tool is traced to at least one decision record
+- No decision record has `proposed_method: LLM` without a written rationale for why
+  a smaller or more bounded approach is insufficient
+- The summary table exists and is navigable
+- At least one decision currently implemented as a single LLM call is shown to contain
+  three or more separable decisions
+
+## Execution Notes for Next Session
+
+Start with Stage 1 (`architect_intake`) — it is the entry point and its outputs
+constrain everything downstream. Read the source, not just the schema.
+
+Do not assume a field is a single decision because it has a single key in the output
+JSON. JSON keys are output slots. Decisions are the reasoning steps that fill them.
+
+When a decision is genuinely coupled to another (output of A determines the valid
+space of B), record the coupling explicitly rather than merging the decisions. Coupled
+decisions that are *always* coupled may warrant a structured output gate. Decisions
+that are *sometimes* coupled may warrant independent gates with a dependency edge.

tools/gen_prereq_op_rsa_data.py

@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+"""Generate Fabricate-format TSV training data for the two prereq_op binary specialists.
+
+Source: semantic/prereq_op_dataset_1000/accepted.ndjson
+        (extracted from real whetstone_DSL taskitem run artifacts)
+
+Produces four files:
+  prereq_resolve_train.tsv   / prereq_resolve_eval.tsv
+  prereq_architect_train.tsv / prereq_architect_eval.tsv
+
+Each file uses Fabricate TSV format: label<TAB>0<TAB>text
+  label: 0 = no, 1 = yes
+  0:     unused hop field (always 0)
+  text:  composed from task context fields
+
+Text composition (per row):
+  title: <task title>
+  reasons: <reason1>; <reason2>; ...
+  accepts: <acceptance criterion text>; ...
+  constraints: <constraint text>; ...
+
+Usage:
+  python3 tools/gen_prereq_op_rsa_data.py \\
+      --input semantic/prereq_op_dataset_1000/accepted.ndjson \\
+      --output-dir semantic/prereq_op_tsv \\
+      --eval-frac 0.15 \\
+      --seed 42
+"""
+
+import argparse
+import json
+import random
+from pathlib import Path
+
+
+REPO_ROOT = Path(__file__).resolve().parent.parent
+
+
+def compose_text(ctx: dict) -> str:
+    parts = []
+
+    title = (ctx.get("title") or "").strip()
+    if title:
+        parts.append(f"title: {title}")
+
+    reasons = ctx.get("reasons") or []
+    if reasons:
+        parts.append("reasons: " + "; ".join(str(r).strip() for r in reasons if r))
+
+    reqs = ctx.get("normalized_requirements") or []
+    accepts = [r["normalizedText"] for r in reqs if r.get("kind") == "acceptance" and r.get("normalizedText")]
+    constraints = [r["normalizedText"] for r in reqs if r.get("kind") == "constraint" and r.get("normalizedText")]
+
+    if accepts:
+        parts.append("accepts: " + "; ".join(accepts))
+    if constraints:
+        parts.append("constraints: " + "; ".join(constraints))
+
+    return " | ".join(parts)
+
+
+def write_tsv(path: Path, rows: list[tuple[int, str]]) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("w", encoding="utf-8") as fh:
+        for label, text in rows:
+            fh.write(f"{label}\t0\t{text}\n")
+
+
+def label_summary(rows: list[tuple[int, str]]) -> dict:
+    pos = sum(1 for label, _ in rows if label == 1)
+    neg = len(rows) - pos
+    return {"total": len(rows), "pos": pos, "neg": neg, "pos_pct": round(pos / len(rows) * 100, 1)}
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--input",
+        default="semantic/prereq_op_dataset_1000/accepted.ndjson",
+        help="Accepted prereq_op rows in NDJSON format.",
+    )
+    parser.add_argument(
+        "--output-dir",
+        default="semantic/prereq_op_tsv",
+        help="Directory for output TSV files.",
+    )
+    parser.add_argument(
+        "--eval-frac",
+        type=float,
+        default=0.15,
+        help="Fraction of rows to use for eval (default: 0.15).",
+    )
+    parser.add_argument(
+        "--seed",
+        type=int,
+        default=42,
+        help="Random seed for train/eval split.",
+    )
+    parser.add_argument(
+        "--max-rows",
+        type=int,
+        default=0,
+        help="Optional cap on input rows (0 = no limit).",
+    )
+    return parser.parse_args()
+
+
+def main() -> int:
+    args = parse_args()
+    input_path = Path(args.input)
+    if not input_path.is_absolute():
+        input_path = (REPO_ROOT / input_path).resolve()
+    output_dir = Path(args.output_dir)
+    if not output_dir.is_absolute():
+        output_dir = (REPO_ROOT / output_dir).resolve()
+
+    rows: list[dict] = []
+    with input_path.open("r", encoding="utf-8") as fh:
+        for line in fh:
+            line = line.strip()
+            if not line:
+                continue
+            rows.append(json.loads(line))
+            if args.max_rows and len(rows) >= args.max_rows:
+                break
+
+    rng = random.Random(args.seed)
+    rng.shuffle(rows)
+
+    n_eval = max(1, int(len(rows) * args.eval_frac))
+    eval_rows = rows[:n_eval]
+    train_rows = rows[n_eval:]
+
+    def to_binary(split: list[dict], key: str) -> list[tuple[int, str]]:
+        result = []
+        for row in split:
+            label_val = row["decision_label"].get(key, False)
+            text = compose_text(row["decision_context"])
+            if not text:
+                continue
+            result.append((1 if label_val else 0, text))
+        return result
+
+    resolve_train = to_binary(train_rows, "needs_resolve_dependencies")
+    resolve_eval = to_binary(eval_rows, "needs_resolve_dependencies")
+    architect_train = to_binary(train_rows, "needs_architect_review")
+    architect_eval = to_binary(eval_rows, "needs_architect_review")
+
+    write_tsv(output_dir / "prereq_resolve_train.tsv", resolve_train)
+    write_tsv(output_dir / "prereq_resolve_eval.tsv", resolve_eval)
+    write_tsv(output_dir / "prereq_architect_train.tsv", architect_train)
+    write_tsv(output_dir / "prereq_architect_eval.tsv", architect_eval)
+
+    summary = {
+        "input": str(input_path),
+        "output_dir": str(output_dir),
+        "total_rows": len(rows),
+        "train_rows": len(train_rows),
+        "eval_rows": len(eval_rows),
+        "needs_resolve_dependencies": {
+            "train": label_summary(resolve_train),
+            "eval": label_summary(resolve_eval),
+        },
+        "needs_architect_review": {
+            "train": label_summary(architect_train),
+            "eval": label_summary(architect_eval),
+        },
+    }
+    print(json.dumps(summary, indent=2, sort_keys=True))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tools/split_prereq_op_dataset.py

@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+"""Split extracted gate rows into prereq_op_selector accepted / rejected / schema-drift buckets.
+
+Reads an NDJSON file of extracted gate rows (from extract_gate_rows.py) and
+produces three output files covering only prereq_op_selector rows:
+
+  accepted.ndjson     — rows with no rejection flags
+  rejected.ndjson     — rows with any rejection flag
+  schema_drift.ndjson — subset of rejected rows where rejection is caused by
+                        invalid_prerequisite_values (schema-drift label pollution)
+
+Also prints a brief summary to stdout.
+"""
+
+import argparse
+import json
+from pathlib import Path
+
+SCHEMA_DRIFT_FLAG_PREFIX = "invalid_prerequisite_values"
+
+
+def is_schema_drift(row: dict) -> bool:
+    return any(f.startswith(SCHEMA_DRIFT_FLAG_PREFIX) for f in row.get("rejection_flags", []))
+
+
+def write_ndjson(path: Path, rows: list[dict]) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("w", encoding="utf-8") as fh:
+        for row in rows:
+            fh.write(json.dumps(row, sort_keys=True) + "\n")
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--input",
+        default="semantic/extracted_gate_rows_slice.ndjson",
+        help="NDJSON file produced by extract_gate_rows.py.",
+    )
+    parser.add_argument(
+        "--output-dir",
+        default="semantic/prereq_op_dataset",
+        help="Directory where accepted/rejected/schema_drift files are written.",
+    )
+    return parser.parse_args()
+
+
+def main() -> int:
+    args = parse_args()
+    repo_root = Path(__file__).resolve().parent.parent
+    input_path = Path(args.input)
+    if not input_path.is_absolute():
+        input_path = (repo_root / input_path).resolve()
+    output_dir = Path(args.output_dir)
+    if not output_dir.is_absolute():
+        output_dir = (repo_root / output_dir).resolve()
+
+    accepted: list[dict] = []
+    rejected: list[dict] = []
+    schema_drift: list[dict] = []
+    skipped = 0
+
+    with input_path.open("r", encoding="utf-8") as fh:
+        for line in fh:
+            line = line.strip()
+            if not line:
+                continue
+            row = json.loads(line)
+            if row.get("gate_id") != "prereq_op_selector":
+                skipped += 1
+                continue
+            flags = row.get("rejection_flags", [])
+            if not flags:
+                accepted.append(row)
+            else:
+                rejected.append(row)
+                if is_schema_drift(row):
+                    schema_drift.append(row)
+
+    write_ndjson(output_dir / "accepted.ndjson", accepted)
+    write_ndjson(output_dir / "rejected.ndjson", rejected)
+    write_ndjson(output_dir / "schema_drift.ndjson", schema_drift)
+
+    # Flag breakdown across rejected rows
+    flag_counts: dict[str, int] = {}
+    for row in rejected:
+        for f in row.get("rejection_flags", []):
+            flag_counts[f] = flag_counts.get(f, 0) + 1
+
+    # Label distribution for accepted rows
+    label_counts: dict[str, int] = {
+        "needs_validate_intake": 0,
+        "needs_architect_review": 0,
+        "needs_resolve_dependencies": 0,
+    }
+    for row in accepted:
+        label = row.get("decision_label", {})
+        for key in label_counts:
+            if label.get(key):
+                label_counts[key] += 1
+
+    summary = {
+        "input": str(input_path),
+        "output_dir": str(output_dir),
+        "rows_accepted": len(accepted),
+        "rows_rejected": len(rejected),
+        "rows_schema_drift": len(schema_drift),
+        "rows_skipped_other_gates": skipped,
+        "rejection_flag_breakdown": flag_counts,
+        "accepted_label_distribution": label_counts,
+    }
+    print(json.dumps(summary, indent=2, sort_keys=True))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())