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
The prior commit's edit did not match and 7.4 was left unclaimed. model/specs.py
is read-only data -- no LLM and no optimiser writes it -- and task 1.1 now
carries that criterion with a test asserting the module exposes no writer. All
49 criteria trace to a task.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Design approved. All 49 criteria trace to a task.
The tasks carry an agent-guidance preamble aimed squarely at the escalations
this session hit: the eighteen-defect lesson (fix the class, not the instance),
the gate-baseline as the safety net (the whole learning/ package is off the
gate path, so its deletion cannot move a gate -- a moved gate means you touched
a retained path), the zero-dep capability-detection pattern to copy verbatim,
and -- most important for the subtraction -- a full coupling map naming every
touchpoint of the removed code (cli, pairs hunter path, config, reports,
semantic seed/loo, the mechanism loop across improve/ and semantic/). The
subtraction is not discovery by import error.
Group 1 is pure gate-protected subtraction, sequenced so vocabularies are
ported (1.1) and importers detached (1.2-1.3) before anything is deleted (1.4),
then tests reduced in the same spirit (1.5) and the tree audited for orphans
(1.6). Group 2 is a Joern go/no-go: task 2.3 reads go or stop, and groups 3-6
do not begin until it is green -- building past a red 2.3 is the mistake the
whole spec exists to prevent. Parallelism is deliberately absent; the
subtraction is sequential and the spike gates the rest.
Not approved for implementation.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
