evaluate-plugin Skill
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. Published by openai in plugins.
What is evaluate-plugin Skill?
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. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Security review
- Documentation
- Data analysis
- Security review use cases
- Documentation use cases
Technical details
- Install or run with Copy skill directory
When to use evaluate-plugin Skill
- Use it for security review.
- Use it for documentation.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/plugin-eval/skills/evaluate-plugin/SKILL.md
What it does
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.
Skill instructions
Evaluate Plugin Use this skill when the target is a plugin root with .codex-plugin/plugin.json. Workflow 1. Treat "Evaluate this plugin." as the default entrypoint. 2. If the request comes in as natural chat language, use plugin-eval start <plugin-root --request "<user request" --format markdown first so the user sees the routed local path. 3. Run plugin-eval analyze <plugin-root --format markdown. 4. Read Fix First before drilling into manifest findings, nested skill findings, and code or coverage details. 5. If the plugin contains multiple skills, summarize the strongest and weakest ones explicitly. 6. If the user wants measured usage, switch to "Help me benchmark this plugin." and use the starter benchmark flow. 7. 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? Co
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Frequently asked questions
What is evaluate-plugin?
evaluate-plugin is a open-source AI agent skill with Copy skill directory. 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.
Who is evaluate-plugin best for?
evaluate-plugin is best for reusing agent instructions, scripts, and references, security review workflows, documentation workflows, data analysis workflows.
How do I install evaluate-plugin?
Install or run evaluate-plugin using Copy skill directory. Check evaluate-plugin for the latest setup command.
Is evaluate-plugin actively maintained?
evaluate-plugin may need a closer maintenance check before production use.
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