Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agent-evaluationOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agent-evaluation⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/agent-evaluation/💡Extract and place the folder at the path above, then restart your agent.
Category
💻Developer & DevOpsWhat Agent Evaluation can do for your AI workflow
Testing and benchmarking llm directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
Trusted by 4,216+ developers worldwide
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Agent Evaluation
Help me get started with Agent Evaluation
Explains what Agent Evaluation does, walks through the setup, and runs a quick demo based on your current project
Use Agent Evaluation to testing and benchmarking LLM agents including behavioral testing, c...
Invokes Agent Evaluation with the right parameters and returns the result directly in the conversation
What can I do with Agent Evaluation in my developer & devops workflow?
Lists the top use cases for Agent Evaluation, with example commands for each scenario
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Agent Evaluation extends your AI assistant with the ability to testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Agent Evaluation as its underlying capability.
Agent Evaluation works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Agent Evaluation once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Agent Evaluation takes about two minutes. Place the skill at `~/.claude/skills/agent-evaluation/` (personal, all projects) or `.claude/skills/agent-evaluation/` (project-specific), then restart your AI client. From that point, typing `/agent-evaluation` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Agent Evaluation has been installed 4,216 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/agent-evaluation/ for personal use (all projects), or .claude/skills/agent-evaluation/ for project-specific use. Restart your AI client, then invoke with /agent-evaluation or let the AI discover it automatically.
Agent Evaluation supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Agent Evaluation is free to install. Check the repository for licensing information.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
Platforms
Links
Automate my developer & devops tasks using Agent Evaluation
Identifies repetitive steps in your workflow and sets up Agent Evaluation to handle them automatically
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