Analyze AI chat sessions against MEMORY.md and CLAUDE.md rules.
npx skills add https://github.com/matthewsinclair/intent --skill intent-autopsy
Please help me install this Agent Skill. Skill: Intent Autopsy Source: https://github.com/matthewsinclair/intent/tree/main/intent/plugins/claude/skills/in-autopsy Command: npx skills add https://github.com/matthewsinclair/intent --skill intent-autopsy
This Skill automates the process of analyzing AI chat sessions to identify discrepancies between documented memory rules and actual AI behavior, uncovering gaps and enforcement failures.
MEMORY.md, CLAUDE.md).MEMORY.md, flagging it for review and potential rule strengthening.Run the Intent Autopsy skill to analyze Claude Code sessions from the last 7 days, focusing on compacted sessions.
High-intent search queries and answers about installing and using this skill.
Analyze AI chat sessions by running an Elixir script that parses session logs and compares them against documented MEMORY.md and CLAUDE.md rules to identify behavioral gaps. This forensic process pinpoints exactly where the AI deviated from your defined intentions.
AI session forensics is the process of reviewing chat logs against documented memory rules to uncover enforcement failures and gaps. It applies to AI development and meta-learning workflows by identifying where the AI consistently forgets coding standards.
Yes, you need Elixir installed to execute the session analysis script provided by this Skill. The script requires Elixir to parse the session data and compare it against your memory rules.
Check Claude Code sessions by running an analysis script over the past week of compacted session logs. The script compares these logs against your MEMORY.md and CLAUDE.md files to flag instances where AI behavior deviated from documented standards.
Perform an intent autopsy when you need to determine if existing memory rules are being violated or if new rules are needed. It is ideal after a series of AI coding sessions to review logs and flag consistent deviations for potential rule strengthening.
The best way to identify enforcement gaps is to automate session analysis using a script that parses chat logs and compares them against defined memory rules. This approach systematically pinpoints deviations from documented intentions without manual review.
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