llm-evaluation
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill implements 'LLM-as-judge' patterns where the output of one model is fed directly into the prompt of a judge model (e.g.,
llm_judge_qualityandcompare_responsesfunctions). - Ingestion points: The
response,response_a, andresponse_bparameters inSKILL.mdare interpolated into judge prompts. - Boundary markers: The current implementation lacks delimiters or instructions to ignore embedded commands within the evaluated text.
- Capability inventory: The judge model has network access via the
openaiAPI client. - Sanitization: No validation or escaping of the evaluated model outputs is performed before interpolation.
Audit Metadata