X Openai Evaluate Plugin 72b69d9

---
name: evaluate-plugin
description: 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.
---

# 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?`

## Commands

```bash
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-run
```

## Reference

- `../../references/chat-first-workflows.md`