66 errors had accumulated in src since the last green run (the hunt modules of groups 4-6, stats, candidates,
runner). Codex typed them without behaviour change; the 17 inline import-untyped ignores it added are replaced by
one override for dspy, pandas, statsmodels and scikit-learn, and the hunt package's lazy imports of benchmarks/
(never type-checked, not in files) are followed silently so src stays strict against their signatures.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
The full suite after the replay found regressions from 062a7b7 and 94e96c6:
- catalog_gen and candidates.labeled_spans still unpacked 3-tuples and expected None on a parser
rejection; source.ranges returns FunctionRange (4 fields, module entry first) and raises ValueError.
- ranges_from_ir passed the language to declarator_name, so the repo-facts declaration table named a
callback call (exec(..., function () {) as a function; the pre-P1 call had no language.
- the catalog_gen fail-loud test blocked the old module name.
- docs: a renumbered examples anchor, and two .kiro paths in the public threat model.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
src/openultrasast/source.py replaces the copies in semantic/functions.py,
plane/tasks/repo_facts.py, learn/features.py, learn/excerpt.py and
plane/tasks/verify.py. Two engines share one sentinel (<module>), one
DECLARATION/KEYWORDS/RESERVED set and one alias map: the parser engine
(ranges, enclosing, bounds, call_sites, callers_of, facts_for) for the
scorer, the overlay and the hunter's annotations; the line-pattern engine
(declared_functions, enclosing_at, function_span, function_bounds, the brace
matcher) that labels, features, roles, excerpts and plane facts were built
on. learn no longer imports plane.tasks. Frozen records that store the old
sentinel are mapped on read (module_function).
Gate: labels rebuilt before and after are identical, 7,921 rows, after
sentinel normalisation (benchmarks/measurements/2026-10-13-source-module-
label-diff/record.json). 490 targeted tests pass; 3,312 collect. Net: 657
lines deleted, 212 added. benchmarks/unseen keeps <global> for its own
frozen manifests.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Both were found by running the real engine, and neither was visible offline.
1. A sink was its own sanitizer. The shipped facts mark some sanitizers with a
*shape* qualifier -- parameterized ("execute(sql, params) binds rather than
interpolates") and literal_format_arg ("printf with a constant format string
is safe"). These describe a safe FORM OF THE SINK CALL, not a call that
cleans a value on the path. Flattening them into the sanitizer list made
`execute` both the injection sink and its own sanitizer, so every SQL flow
would have reported as already-clean and nothing could ever be entailed.
Fixed as a class, not an instance: any fact carrying a shape qualifier is
excluded from `sanitizers` and kept in `safe_shape_sinks` for the shape test
task 4.2 will model properly. Fixing only the Python `parameterized` case
would have left C's entire printf family -- which the generalised test then
caught immediately.
2. labeled_family lost its deterministic derivation in group 1. The deleted
classifier resolved a pair's family by declared label, else obligation, else
mechanism, else CWE, and only asked an LLM when every link failed -- which
for a labeled corpus was never. Group 1 reduced this to the declared label
alone, which silently emptied every family whose pairs are labeled by CWE:
the injection slice went to zero pairs. The chain is restored, still with no
model call, and the family census again matches the committed entailment
ceiling exactly (injection 50, memory 176, access_control 8, ...).
Also: the Joern seam now runs in the CPG's own scratch directory, because
`joern --script` writes a `workspace/` beside the working directory and would
otherwise leave one inside the repository being analysed.
The taint query itself was corrected against the live engine: the sink is the
call's ARGUMENTS (data flows into arguments, not into the call node) and
reachableByFlows is called on the sink with the source. With that, the
three-hop chain our flat IR could not resolve is found:
request.args["cmd"] -> cmd -> "echo " + cmd -> full -> os.system(full)
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
99 source modules -> 81. 832 tests -> 646. The whole learning/ package (16
modules, ~4,100 lines) and six semantic/ modules removed, with the three gates
byte-identical to 2026-09-06-gate-baseline.txt at every step.
The sequence is what made it safe: vocabularies ported first (1.1), importers
detached second (1.2-1.3), deletion third (1.4). Every import break during the
deletion was therefore a detachment miss in the importer and was fixed there --
no module was restored to satisfy one. Both misses were the same shape and were
fixed as a class: operations.py and shapes.py each imported trailing_name from
the deleted variants.py, so it moved to semantic/ir.py, its natural home, and
both importers changed in one edit.
Ported before deleting: the closed guard vocabulary (verbatim, nothing else
holds it) into model/specs.py, which derives TaintSpec and DominanceSpec from
the retained ruleset facts rather than copying them. Re-homed: families ->
model/taxonomy, candidates -> model/candidates, endpoint -> model/endpoint,
plus Region, labeled_family and labeled_spans. labeled_family no longer falls
back to the LLM classifier -- an unlabeled pair is honestly unknown.
Four deviations, each recorded in the spec notes with its reason. improve/
evolve.py and validator.py were stripped, not deleted: each mixes the mechanism
lever (gone) with the deterministic rule-status loop `ousast improve` still
runs, which has no LLM in it; a test now asserts the lever's absence by symbol
so it cannot creep back. The learning CLI group became `model candidates`,
because deleting it outright would have orphaned the retained enumerator by
removing its only entry point. thinking moved from [learning] to [models].
A gap named rather than papered over: no retained sink fact routes by CWE to
path, output_encoding, untrusted_destination or prototype -- the same hole the
entailment ceiling diagnosed. The test asserts the seeded set and the gap set
exactly, so task 4.2 must update it when it authors those sinks.
The audit found exactly one genuine orphan: vectorstore.py, a bakeoff harness
with no production caller and no CLI, alive only through its own test. The five
named subsystems each carry an explicit decision. Manifest committed, with a
test asserting the tree still matches it.
Group 2 (the Joern go/no-go) has not started.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
