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completion-evidencelisted

Use when DONE is proposed with unrun tests, missing requirements, inferred success, happy-path-only proof, or unresolved required findings.
ihabkhaled/AI-Psychiatry · ★ 3 · AI & Automation · score 74
Install: claude install-skill ihabkhaled/AI-Psychiatry
# Completion Evidence ## 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. Map every mandatory completion condition to fresh evidence. Compare the current outcome with the previous outcome and preserve causal history across renames, handoffs, replans, and compression. 4. Produce the compact record: `requirement, evidence type, evidence reference, status`. 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 `a complete evidence matrix or an exact missing-evidence list` and return to productive work. ## Repository runtime Apply this procedure inside the installed `.ai/` framework. Record observable state in the relevant JSON ledger a