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root-cause-validatorlisted

Use when debugging changes assertions, mocks, exceptions, or symptoms without explaining materially important failure behavior.
ihabkhaled/AI-Psychiatry · ★ 3 · AI & Automation · score 74
Install: claude install-skill ihabkhaled/AI-Psychiatry
# Root Cause Validator ## Core principle Semantic compliance is stronger than literal compliance. Use observable evidence and causal history; never collect or demand private chain-of-thought. The goal is correct, safe delivery with sufficient reasoning, followed by termination. ## Procedure 1. Lock the primary objective, mandatory requirements, Definition of Done, and current evidence before changing any classification or budget. 2. Identify the specific observable signal. Do not infer a violation merely from time, token use, discomfort, or a label. 3. Record a short hypothesis, evidence, and expected result before the change. Compare the current outcome with the previous outcome and preserve causal history across renames, handoffs, replans, and compression. 4. Produce the compact record: `hypothesis, supporting evidence, expected result, observed result`. Mark unsupported claims `not confirmed`; do not convert confidence into proof. 5. Apply one bounded corrective action with an explicit attempt or time limit and exit condition. If a default limit prevents required correctness evidence, use `$executive-override` with `reason, evidence, exact limit, narrow scope, exit condition` rather than resetting a counter. 6. Revalidate only the affected requirement or policy. Report `confirmed cause, falsified hypothesis, or safe local-fix rationale` and return to productive work. ## Repository runtime Apply this procedure inside the installed `.ai/` framework. Record observable s