Decision Autopsy
Judge a past decision by its PROCESS, not its outcome — because good decisions lose and bad decisions win, and teams that can't tell the difference learn the wrong lessons. Use when reviewing a big call after the fact (a bet that failed, a pass that haunts, a hire, a pivot) and the room is about to conclude 'it failed so it was wrong.' Produces a process-forensics report: what was knowable then, the quality grade of the decision as-made, the luck accounting, and the ONE process change worth keeping.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
cp -r decision-autopsy ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 97.0
- Freshness: 94.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 7
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
Its own instructions
Its SKILL.md says when to use it.
Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.
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source ↗ · skill:mohitagw15856/decision-autopsy
Everything on this page is public evidence and free. What it cannot know is whether you run this — npx tashan-cli doctor reads your own config and names what is wrong in it, also free. tashan Pro tells you the day any of it changes.
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Measured 2026-08-16 · scorer s5 · how · something wrong here?