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evaluation
Owl-Listener ★ 173
Provides skills and commands for defining evaluation criteria, measuring AI output quality through rubrics and metrics, and tracking product performance over time. Includes task success measurement, user satisfaction analysis, comparative testing, and AI-specific failure classification to assess both system effectiveness and user experience.
Install
> /plugin marketplace add Owl-Listener/ai-design-skills/tree/HEAD/claude-plugin/evaluation
> /plugin install evaluation
Source: https://github.com/Owl-Listener/ai-design-skills/tree/HEAD/claude-plugin/evaluation
What it's made of
3 commands · 7 skills
- Commands
- 3
- Agents
- 0
- Skills
- 7
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
Is this your plugin?
Claim it to keep the card accurate and enter the weekly contest. Requires signing in as the GitHub owner (Owl-Listener).