eval-harness
CommunityFormal evaluation framework for AI development.
AuthorAndyHsuTW
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured approach to developing AI agents by treating evaluations as first-class citizens, ensuring reliability and preventing regressions.
Core Features & Use Cases
- Eval-Driven Development (EDD): Define expected behavior before implementation.
- Automated Testing: Run capability and regression evals to catch issues early.
- Metrics Tracking: Monitor pass@k and pass^k metrics for reliability.
- Use Case: Before adding a new feature to your AI agent, define its expected outputs and behaviors using this Skill. Then, implement the feature and run the evals to confirm it works as intended and hasn't broken existing functionality.
Quick Start
Use the eval-harness skill to define a new capability evaluation for the 'user-authentication' feature.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: eval-harness Download link: https://github.com/AndyHsuTW/everything-llm-workspace/archive/main.zip#eval-harness Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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