self-improvement-loops
Pass
Audited by Gen Agent Trust Hub on Oct 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a comprehensive guide for the safe design of self-improving agent scaffolds. It explicitly defines security boundaries, such as enforcing budgets and permissions in the runtime rather than the mutable prompt, and keeping evaluators isolated from the optimization surface.
- [EXTERNAL_DOWNLOADS]: The skill references technical research papers and blog posts from trusted organizations (e.g., Anthropic, METR) and well-known academic repositories (arXiv). These references are for educational and evidentiary purposes and do not involve the execution of untrusted remote code.
- [COMMAND_EXECUTION]: While the skill discusses systems that execute and modify code, the provided content consists only of conceptual Python snippets and architectural instructions. It does not contain commands that would perform unauthorized actions on the host system.
- [PROMPT_INJECTION]: The skill provides documentation on how to detect and mitigate prompt injection and reward hacking within self-improvement loops, rather than containing injection attempts itself.
Audit Metadata