Eval Harness Skill
CommunityFormal evaluation for AI development.
AuthorLincyaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured framework for evaluating AI model performance, ensuring reliability and tracking regressions through formal evaluation processes.
Core Features & Use Cases
- Eval-Driven Development (EDD): Implement AI development practices where evaluations (tests) are defined before coding.
- Capability Evals: Define and test new functionalities the AI should possess.
- Regression Evals: Ensure existing functionalities remain intact after code changes.
- Grading Mechanisms: Supports code-based, model-based, and human grading for comprehensive assessment.
- Metrics: Tracks reliability using pass@k and pass^k metrics.
- Use Case: A software team developing an AI coding assistant can use this Skill to define tests for new code generation features and ensure that existing code completion capabilities are not broken by updates.
Quick Start
Use the eval harness skill to define a new capability evaluation for user authentication.
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 Skill Download link: https://github.com/Lincyaw/cc-md/archive/main.zip#eval-harness-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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