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Grades agent skills by scoring agent conversations for efficiency, code quality, procedure compliance, and verbosity, then drafts concrete skill edits and a…
skill-doctor Grade the user's agent setup by scoring recent local agent conversations, then propose concrete skill edits and render one shareable report page. The report can cover conversations in the current repository, conversations in selected projects, or all local conversations. It can evaluate project skills alone or project and global skills together. Everything runs locally. Never upload transcripts, session files, or any excerpt of them anywhere. The only shareable artifact is the report the user chooses to post. Let SKILL_ROOT be the directory containing this SKILL.md. Step 0: Start the run Verify the executing harness Read $SKILL_ROOT/references/supported-harnesses.md and identify the harness executing this skill from the runtime context. If it is unsupported or cannot be identified confidently, follow the reference's stop behavior. Do not create a report directory or read conversation history. Ask which conversations to grade First check whether the current directory is inside a git repository:
don't have the plugin yet? install it then click "run inline in claude" again.