llm-debugger
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill workflow for diagnosing failures and verifying fixes involves processing untrusted LLM outputs, which can lead to indirect prompt injection vulnerabilities.
- Ingestion points: The
debug_llm_outputanddiagnose_failurefunctions inSKILL.mdtakepromptandoutputas arguments, which represent untrusted external data. - Boundary markers: The prompt templates generated by
suggest_prompt_fixlack specific delimiters or "ignore embedded instructions" warnings to isolate potentially malicious data. - Capability inventory: The
debug_llm_outputfunction inSKILL.mdinvokes thellm()tool to test generated fixes, allowing injected data to influence subsequent agent actions. - Sanitization: There is no evidence of sanitization or filtering of the
outputorpromptdata before it is interpolated into new instructions or test cases.
Audit Metadata