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evidence-researchlisted

Use to research a decision that needs evidence beyond the repository, such as current upstream behavior, historical rationale, cross-system incidents, or contested claims. Do not use for repository-only code tracing or a summary of provided material.
lawzava/megapowers · ★ 5 · AI & Automation · score 71
Install: claude install-skill lawzava/megapowers
# Evidence Research Keep repository-only code tracing and summaries of already provided material in the ordinary task flow. Define the exact question, decision, time boundary, and stopping rule. Start from the code or artifact anchor. Use repository and Git history before broader search when they can answer the question. Query tickets, docs, chat, observability, errors, and analytics only when each source is available, authorized, and proportionate. Prefer primary sources for external facts. Use independent sources when a claim is contested or one source cannot establish the decision. For each load-bearing claim, classify the support as `direct-statement`, `direct-observation`, `source-backed`, or `history-entry-only`, and mark the rest `inferred`, `speculative`, `unknown`, or `contested`. Only the first four classes support a decision; the same vocabulary governs `memory-hygiene`. Keep API contracts, observed runtime behavior, and commercial promises distinct. Record sources consulted, dates or revisions where material, and material gaps. State what would resolve an unknown or contested claim. Lead with the decision and minimum sufficient evidence. Cite the source next to the claim it supports. Save a durable research artifact only at an approved path. Keep secrets, sensitive transcripts, raw chat, and irrelevant personal data out of the result. Do not write to trackers or publish findings without separate authority. A research conclusion is not authority to implement