skills/muratcankoylan/agent-skills-for-context-engineering/self-improvement-loops/Gen Agent Trust Hub
self-improvement-loops
Pass
Audited by Gen Agent Trust Hub on Jul 8, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill documents architectural patterns for recursive self-improvement that involve an inherent attack surface where the agent processes its own execution traces. Ingestion points: The system is designed to ingest failure patterns and raw execution traces from a local archive (SKILL.md). Boundary markers: The skill advocates for runtime enforcement of constraints at the OS or container level and keeping scoring mechanisms invisible to the proposer (SKILL.md). Capability inventory: The AI agent is given the capability to propose and apply edits to its own harness code, prompts, and workflows (SKILL.md). Sanitization: Guidance includes using a two-split acceptance gate with invisible held-out data to empirically validate modifications (SKILL.md).
Audit Metadata