Is innovation-lab-examples safe to install?

Security audit of fetchai/innovation-lab-examples · MCP Server by fetchai · ★ 1.2k

✓ SAFE Basic audit · rule-based scan · 43 published rules

Yes — innovation-lab-examples passed AgentSkillsHub's rule-based security scan with no dangerous patterns detected. As with any third-party skill, confirm what credentials it requests before production use.

What it is: 80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.

No dangerous patterns were detected: no credential exfiltration, no obfuscated downloads, no sandbox-escape attempts, no prompt-injection markers.

Audit summary

Security grade	✓ SAFE
Quality score	67/100
GitHub stars	1.2k
Language	Python
License	MIT
Last updated	2026-09-01

Check before you install

What credentials does it ask for, and where are they stored?
Is the maintainer identifiable and the repo actively maintained?
Read the install scripts and network calls before trusting it.

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This is AgentSkillsHub's free basic audit: an automated rule-based scan with 43 published rules built on SlowMist's agent-security taxonomy (credential theft, obfuscated payloads, privilege escalation, covert instructions to the agent, and more), applied the same way to every open-source AI agent skill and MCP server we grade and refreshed every 8 hours. A SAFE grade is a scan result, not a guarantee — deep 5-dimension audits (code · credentials · vendor · supply-chain · operational) are available for enterprise. Audited: 2026-11-11.