Grade an agent setup from real conversation history — a rebuild of warpdotdev/common-skills' skill-doctor (MIT). Harvests recent local Claude Code and Codex sessions scoped to one repo, condenses and secret-redacts transcripts (12-pattern redactor, chmod-0600 artifacts, nothing uploaded), has the agent judge each transcript against two verbatim-preserved rubrics (efficiency, code quality — labels only), then runs a deterministic aggregation gate that derives every number from the label tables, refuses scores for unsampled sessions and suggestions that cite no scored session, and renders one self-contained zero-JS HTML report (dark-mode, print-to-PDF). Proposed skill edits stay staged as diffs until an explicit per-skill yes; zero suggestions is a valid, reportable success. Ships cs-skill-doctor agent, /cs-skill-doctor command, 3 stdlib tools, 3 references citing 7 sources each.

version
2.14.1
GitHub stars
28.8K

Install

/plugin install skill-doctor@claude-code-skills

Run it inside Claude Code after adding the marketplace with /plugin marketplace add alirezarezvani/claude-skills.

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Details

Marketplace
alirezarezvani/claude-skills
Source
engineering/skill-doctor
Author
Alireza Rezvani
Category
development
Keywords
skill-doctor, skill-grading, session-mining, llm-as-judge, rubric-scoring, transcript-analysis, skill-coverage, secret-redaction, agent-evals, engineering

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