Evaluate Claude Code harnesses across CLAUDE.md, hooks, settings, and skills.
npx skills add https://github.com/heyu-ai/yibi-stack --skill harness-eval-heyu-ai
Please help me install this Agent Skill. Skill: harness-eval Source: https://github.com/heyu-ai/yibi-stack/tree/main/tasks/harness_eval Command: npx skills add https://github.com/heyu-ai/yibi-stack --skill harness-eval-heyu-ai
This Skill assesses the readiness and quality of Claude Code harnesses, providing insights into their performance and potential issues.
Run the 'harness-eval scan' command to evaluate the harness in the current directory.
High-intent search queries and answers about installing and using this skill.
To evaluate Claude Code harness readiness, run the 'harness-eval scan' command in your project directory to automatically assess CLAUDE.md quality, hooks, settings, and skills. This generates detailed dimension scores highlighting strengths and areas needing improvement.
A Claude Code harness quality assessment covers multiple dimensions including CLAUDE.md file quality, hooks configuration, settings validation, and skills deployment. Each dimension receives a detailed score to highlight strengths and areas for improvement.
Yes, you need Python installed along with specific libraries such as click, pydantic, yaml, and pathlib to run harness evaluations. These dependencies are required for the tool to scan directories and perform semantic scoring.
To check if your CLAUDE.md configuration is ready, execute a harness scan to receive a semantic readiness score. The evaluation automatically checks your configuration quality and provides nuanced insights into potential performance issues.
The best way to score Claude Code hooks and settings is using an automated harness evaluation tool that scans your configuration files and assigns dimension scores. This approach leverages semantic scoring for nuanced insights into your setup.
Your Claude Code harness evaluation requires subprocess and yaml libraries to scan configuration files, execute system checks, and parse YAML settings. These dependencies enable the automated assessment of hooks and settings across your project.
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