inAI-wiki: The open-source Wikipedia of AI — 2M+ apps, agents, LLMs & datasets

by inai-sandy · MCP Server · ★ 52

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 55/100

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.

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.

agentsaiaitoolsartificial-intelligencechrome-extensionsdatabasedatasetllmllmsmachine-learning

Quick Facts

Stars52
Forks11
CategoryMCP Server
Quality Score55/100
Open Issues7
Last Updated2026-04-16
Created2025-06-22
Platformsbrowser, mcp
Est. Tokens~839k

About inAI-wiki

🚀 INAI • The Open AI Hub ⭐ If you like this project, please star it on GitHub — it helps a lot! ⭐ Maintained by Sandeep Karnati • Latest updates 👉 inai.wiki 📖 See CONTRIBUTING.md for step-by-step instructions. 🌍 INAI • The Open AI Hub <

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How this security grade is produced

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:

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