validate-evaluator
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill instructions involve processing human-labeled data and production traces, which introduces a potential surface for indirect prompt injection if the evaluated content contains malicious instructions.
- Ingestion points: Data is ingested through variables like
labeled_data,human_labels, andprod_eval_labelsinSKILL.md. - Boundary markers: There are no specified delimiters or 'ignore instructions' markers for the data being processed by the judge model.
- Capability inventory: Performs statistical evaluation and bootstrap simulations using standard libraries like
scikit-learnandnumpy. - Sanitization: The provided methodology does not specify any sanitization or filtering for the evaluated traces.
- [EXTERNAL_DOWNLOADS]: The skill recommends the installation and use of a specialized statistical package for bias correction.
- Evidence: The instruction
pip install judgyis provided in Step 8 ofSKILL.mdfor success rate estimation.
Audit Metadata