2026-09-30 18:14:31 +02:00
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# Implementation Plan
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Order follows the design's commit sequence. Every task is a commit gated on the full suite's own exit code,
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`ruff check`, `ruff format --check` and `mypy`. No reported number changes until task 9 adopts a model; without an
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adopted model every path is today's. Tasks 5, 7 and 10 spend model money or host hours: each starts only after
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the maintainer confirms its budget.
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2026-09-30 18:38:04 +02:00
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- [x] 1. Schema and features
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2026-09-30 18:14:31 +02:00
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- `learn/schema.py` (closed, typed allow-list; no identities; missing != zero), `learn/features.py` (host
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builder), new memory `KINDS`, `plane/tasks/features.py` and the `remember` input; tests enforcing the
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allow-list and the exclusion of label-carrying fields.
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- _Requirements: 1.1, 1.2, 1.3, 7.2_
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2026-09-30 18:49:05 +02:00
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- [x] 2. Framework tags
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2026-09-30 18:14:31 +02:00
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- `ruleset/frameworks.toml`; tag and split every framework/library entry listed in design section 2; `priors=`
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in the semantic and quick loaders (default `all`, so today's scan is unchanged -- the golden benchmark test
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stays byte-identical); a lint test that no untagged framework entry remains.
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- _Requirements: 8.2, 8.4_
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- [ ] 3. Role inference
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- `learn/roles.py` (deterministic wrapper inference), `plane/tasks/roles.py` (model roles, the `model_sinks.py`
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approach), the vocabulary overlay for the engine; fixture tests with no model calls.
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- _Requirements: 8.1_
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- [ ] 4. Labels
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- `learn/sources.toml` (fail-closed allowed sources, v3 excluded unread), `learn/labels.py`, `ousast learn
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labels`, repository-group normalisation and CVE merge, the `assumed_benign` source mined from non-security
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commits (separate, never merged); a first label snapshot committed as counts only.
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- _Requirements: 2.1, 2.2, 2.3, 7.1_
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- [ ] 5. Harvest (needs budget go-ahead)
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- A plane Run of verify a/b on the verify-family pairs and development cases (~$6, ceiling $10), model roles on
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the candidate files (ceiling $10), engine features for the pair corpus on the host (frozen source, one
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container at a time, background).
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- _Requirements: 1.1_
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- [ ] 6. Train, calibrate, evaluate
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- `learn/{folds,train,calibrate,evaluate}.py` (repository-grouped, leave-one-source-out, leave-one-framework-out,
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nested tuning), the model blob API in `plane/memory.py`, `ousast learn train|evaluate|curve`, the first
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evaluation report with priors off under `benchmarks/measurements/<date>-decision-engine-v1/`.
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- _Requirements: 3.1-3.5, 5.1, 5.2, 7.3, 7.4, 8.3_
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- [ ] 7. Experiments (exp-001 needs budget go-ahead)
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- `learn/experiments.py`, `register`, `experiment-outcome`, Run annotation checks, `OUSAST_VERIFY_CALLERS`;
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exp-001 (known-callers line on/off, ~$7.7 expected, ceiling $15) registered, run and recorded -- an
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inconclusive result is pre-registered as likely.
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- _Requirements: 4.1-4.4_
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- [ ] 8. Integration
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- The `decide` task, the `scan` decision stage and `dropped_by_engine.json`, `pre-push` admission with the engine
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(structural admission reasons unchanged), report fields, the fallback line, the opt-in adaptation layer.
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- _Requirements: 6.1-6.3, 7.3, 7.5_
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- [ ] 9. Adopt
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- `ousast learn adopt`, packaged models for the families that pass, the priors-on/off experiment per framework
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with a recorded decision.
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- _Requirements: 3.2, 8.2_
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- [ ] 10. The one-time v3 check
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- Commit `prediction-v3.json` first; then v3 is run under protocol v3 and `result-v3-engine.json` is committed.
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Nothing between the two commits may touch the engine, features, priors or thresholds.
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- _Requirements: 5.3_
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