by metaskills · Agent Tool · ★ 1.1k
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npm install expertsTaken 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 | 1,064 |
| Forks | 62 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 13 |
| Last Updated | 2024-09-09 |
| Created | 2024-04-22 |
| Platforms | node |
| Est. Tokens | ~243k |
Multi AI Agent Systems using OpenAI's Assistants API (Experts.js) Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail.
These tools work well together with experts for enhanced workflows:
Looking for a experts alternative? If you're comparing experts 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.
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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: