Agent Capability Analysis
The eval-harness skill by affaan-m is an open-source official AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for ai-agents, anthropic, claude-code.
Ideal Agent Persona
Ideal for AI Agents like Claude Code, AutoGPT, and LangChain needing a formal evaluation framework for implementing eval-driven development principles
Core Value
Empowers agents to implement eval-driven development (EDD) principles, utilizing pass@k metrics for reliability measurement, and creating regression test suites for prompt or agent changes, all while ensuring continuous evaluation and tracking of regressions with each change using code-based, model-based, or human graders
↓ Capabilities Granted for eval-harness
! Prerequisites & Limits
- Requires definition of expected behavior and success criteria before implementation
- Needs continuous evaluation and tracking of regressions with each change
- May require manual review for certain changes or features flagged for human review
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
! Thin Content Warning
This skill repository lacks comprehensive documentation and has been blocked from search indexing. Double check the source code before installing.
eval-harness
Install eval-harness, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is eval-harness?
Ideal for AI Agents like Claude Code, AutoGPT, and LangChain needing a formal evaluation framework for implementing eval-driven development principles
How do I install eval-harness?
Run the command: npx killer-skills add affaan-m/everything-claude-code/eval-harness. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for eval-harness?
Key use cases include: Defining pass/fail criteria for task completion in Claude Code sessions, Measuring agent reliability with pass@k metrics for critical paths, Creating regression test suites for prompt or agent changes to ensure existing functionality is not broken, Benchmarking agent performance across different model versions to optimize performance, Implementing capability evals to test new features and ensure they meet expected behavior.
Which IDEs are compatible with eval-harness?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for eval-harness?
Requires definition of expected behavior and success criteria before implementation. Needs continuous evaluation and tracking of regressions with each change. May require manual review for certain changes or features flagged for human review.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add affaan-m/everything-claude-code/eval-harness. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use eval-harness immediately in the current project.