- variant_search.search_tree skips a malformed store row with a
variants_store_row_invalid degradation instead of aborting the scan;
a hit on a demoted or flowless overlay record is never merged (test).
- seed.pair_lessons is the one shape derivation shared by the exporter
and leave-one-out; labels pass line and sink together; pairs without a
labeled function are reported as no_labeled_function.
- config parses [variants].max_mechanisms with the shared int helper.
- regress.candidate.hotspot_from_finding is the one zero-score hotspot
helper for forced inventory and variant findings.
- design synced (SearchResult, hits_to_findings summaries, candidate.py).
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Task 2.3 (Req 3.4, 3.5, 3.6, 6.2).
- [variants] enabled / max_mechanisms config; MAP runs variant search
after the overlay in standard and deep scans only, appends the variant
findings, rewrites overlay.json with merged ids, and the manifest
records mechanisms_searched, files_searched, findings and
merged_into_overlay.
- REGRESS: variant findings join the candidate list after the promotions
as zero-score hotspots, under the existing safety check and cap.
- Spec notes for group 2 and the design synced (variant_search.py,
seed.py, derive_shape signature).
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Task 1.1 (Req 2.1-2.4). Spec approved by the maintainer in session.
- semantic/variants.py: Shape (language, sink trailing name, arity,
source positions and kinds, closed guard kind, mechanism id) with a
stable text-free key; derive_shape finds the labeled sink call site in
the vulnerable FileIR, traces argument identifiers through binds to a
fact source, a parameter or a container read, and classifies the guard
the fixed side added from the labeled function's added statements
against a closed set (none when unknown). No path, line or literal
enters a shape; a constant-only call teaches nothing.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Two engine specs drafted after the pair-corpus baseline, awaiting owner
approval before implementation:
- corpus-seeded-mechanisms: structural shapes derived from trusted pairs,
export, variant search merged with overlay flows, leave-one-out
measurement, and a closed `mechanisms` lever for the improve loop.
- reachability-flow-model: call graph over FunctionIR, reachability from
entry points to sinks, hunter client preferring HarnessX (task 4.1b).
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
