by ShishirPatil · LLM Plugin · ★ 13.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install gorilla-cli
git clone https://github.com/ShishirPatil/gorilla.gitTaken 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 | 13,033 |
| Forks | 1,407 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 281 |
| Last Updated | 2026-04-13 |
| Created | 2023-05-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~24636k |
Gorilla: Large Language Model Connected with Massive APIs Latest Updates 📢 Check out our detailed Berkeley Function Calling Leaderboard changelog (Last updated: ) for the latest dataset / model updates to the Berkeley Function Calling Leaderboard! 🤖 [07/17/2025] Announcing BFCL V4 Agentic! As function-calling forms the bedrock of Agentic systems, BFCL V4 Agentic benchmark focuses on...
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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: