Files
Open_Ultra_SAST/benchmarks/measurements/2026-09-08-module-audit.json
T
Marius CiepluchandClaude Opus 5.5 7f6bbacb6e feat(learn): compile, calibrate, evaluate (decision-engine 6.5)
learn/compile.toml: the pre-registered spec -- balanced Brier score of the
raw score on C_val (cells by family x label, repositories capped at 5,
unsure = 0.5, ties within 0.005 to fewer prompt tokens), seed, the
compile split (25%, boot 60/40, compile-split-only memory), bootstrap
(150 candidates, confidence >= 0.7, 4 sets of 3), search (6 proposals +
baseline, 20 errors shown, 60 validation candidates), k = 1, the
retrieval settings, and the $3 / 1,200-call ceiling.

learn/compile.py: bootstrap few-shot keeps only right, confident
rationales that cite a line and name no repository, path or CVE/GHSA id;
seeded demo sets (positive, negative, any; families mixed) with
other-framework alternates; one proposal call; 7 instructions scored with
set 1, the best with sets 2-4. The artifact is canonical JSON stored as
programs/<program_id>.json, program_id = sha256 of the artifact without
its id; it records the spec sha, memory/compile-groups/folds digests and
the response-cache digest, with spend priced from cached usage, so a
rerun from the cache is byte-identical at $0 (tested on FileStore and
MinioStore through the fake client; real MinIO gated as today). A ceiling
ends the compile `unfinished` with no artifact. packageable() keeps only
permissively licensed demonstrations (MIT, BSD, Apache-2.0, ISC, zlib),
swapping in a permissive alternate or dropping, under a new program id.

learn/calibrate.py: Platt scaling on logit(s), pure Python Newton, per
family / pooled with family intercepts / insufficient data by the floors;
cross-fitted (fold j's map is fitted on the other folds only); the check
(5-bin reliability, slope and intercept with repository-bootstrap CIs,
ECE <= 0.05), ADVISORY only when it fails.

learn/evaluate.py: predictions under each fold's boundary, families below
the floor never asked; operating points read from the calibrated,
cross-fitted predictions of the other folds (BLOCK: Wilson lower bound
>= 0.95, never on a majority unsure; ADVISORY: recall >= 0.90);
repository-cluster bootstrap intervals; strata with "insufficient data";
>5% parse failures is an instrument failure; explanations keep only
signals the record holds; version mismatch names the fallback reason;
the memory-size learning curve.

`ousast learn compile|evaluate|curve`: paid runs need --budget-usd (exit
3 at the ceiling), --replay-only runs from the cache. Nothing was spent:
every test and the dry run used scripted clients.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
2026-10-01 10:36:34 +02:00

1764 lines
47 KiB
JSON

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"standalone_capability": 7
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"push_inputs": "pre-push-safety-net task 1.2: offline input provenance validator; python -m openultrasast.push_inputs",
"push_scoring": "pre-push-safety-net task 1.3: frozen-profile diagnostic outcome scorer; python -m openultrasast.push_scoring",
"skills": "skill router; consumed by mcp and by the OpenCode integration, not by the scan path",
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}