
evaluate-plugin
✓ Official★ 4,081by openai · part of openai/plugins
Evaluate a local Codex plugin in engineer-friendly language. Use when the user says "evaluate this plugin", "audit this plugin", "why did this score that way", "what should I fix first", "help me benchmark this plugin", or asks for a plugin-wide report before comparing versions.
🧩 One of 7 skills in the openai/plugins package — works on its own, and pairs well with its siblings.
This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.
Evaluate Plugin
Use this skill when the target is a plugin root with .codex-plugin/plugin.json.
Workflow
- Treat "Evaluate this plugin." as the default entrypoint.
- If the request comes in as natural chat language, use
plugin-eval start <plugin-root> --request "<user request>" --format markdownfirst so the user sees the routed local path. - Run
plugin-eval analyze <plugin-root> --format markdown. - Read
Fix Firstbefore drilling into manifest findings, nested skill findings, and code or coverage details. - If the plugin contains multiple skills, summarize the strongest and weakest ones explicitly.
- If the user wants measured usage, switch to "Help me benchmark this plugin." and use the starter benchmark flow.
- If the user wants trend data, compare two JSON outputs with
plugin-eval compare.
Chat Requests To Recognize
Evaluate this plugin.Audit this plugin.Why did this score that way?What should I fix first?Help me benchmark this plugin.What should I run next?
Commands
plugin-eval start <plugin-root> --request "Evaluate this plugin." --format markdown
plugin-eval analyze <plugin-root> --format markdown
plugin-eval start <plugin-root> --request "What should I run next?" --format markdown
plugin-eval compare before.json after.json
plugin-eval report result.json --format html --output ./plugin-eval-report.html
plugin-eval init-benchmark <plugin-root>
plugin-eval benchmark <plugin-root> --dry-runReference
../../references/chat-first-workflows.md
Copy & paste — that's it
npx skills add https://github.com/openai/plugins --skill evaluate-pluginRun this in your project — your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.