by darkrishabh · Agent Tool · ★ 798
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install agent-skills-eval
npx agent-skills-eval --help
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 798 |
| Forks | 43 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-29 |
| Created | 2026-05-06 |
| Platforms | cli, node |
| Est. Tokens | ~11k |
agent-skills-eval A test runner for Agent Skills. Write a , drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task. Documentation · Quickstart · SDK · agentskills.io Why this exists [Agent Skills](https://agentski
Looking for a agent-skills-eval alternative? If you're comparing agent-skills-eval with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Standards for building agents, better
Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Curso
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volati
General-purpose Playwright automation for coding agents
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token wi
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: