Agentic framework for integration, end2end, multiuserinteraction, security testing based on usecases.
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tegwick 15b55c807a T02: adaptation classification and intent provenance design
Answers the two questions gating the rest of TD-WP-0002.

Classifier: stratify evidence into S1 surface / S2 realization / S3 judgment.
Adaptation writes only to S1; claims and invariants are run inputs with no
adaptation write path, so False Adaptation Rate = 0 is architectural rather
than a tuning target. Classification is a total function over three signals,
defaulting to AMBIGUOUS on missing evidence; a surface change concurrent with
a verdict change is PRODUCT_DEFECT. Semantic actions declare permitted
surfaces so surface-substitution cannot pass as recovery.

Provenance: claims require a source causally independent of the
implementation. agent-from-implementation output is an exploratory hypothesis
until a human promotes it.

New adoption precondition D-07: test-driver requires an independent
observation channel into the system under test.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

Assistant: claude-code
Assistant-Model: opus
Assistant-Process: 1629012@bnt-lap001
Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
2026-08-22 23:09:32 +02:00
docs T02: adaptation classification and intent provenance design 2026-08-22 23:09:32 +02:00
history Register with State Hub, persist concept assessment, seed first workplan 2026-08-22 22:40:39 +02:00
research/findings T01: establish canonical milestone sequence, record F-0001 2026-08-22 23:07:31 +02:00
workplans T02: adaptation classification and intent provenance design 2026-08-22 23:09:32 +02:00
.custodian-brief.md chore(consistency): sync task status from DB [auto] 2026-08-22 22:41:50 +02:00
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INTENT.md T01: establish canonical milestone sequence, record F-0001 2026-08-22 23:07:31 +02:00
README.md Initial commit 2026-08-22 18:48:27 +00:00
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test-driver

Agentic framework for integration, end2end, multiuserinteraction, security testing based on usecases.