llm-testing
Pass
Audited by Gen Agent Trust Hub on Mar 22, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill includes a collection of adversarial test cases within the
ADVERSARIAL_CATEGORIESdictionary inSKILL.md. These include patterns like "Ignore previous instructions" and "DAN" (Do Anything Now). These strings are used as data for evaluation tasks and do not represent instructions to the agent itself.- [PROMPT_INJECTION]: The skill exhibits an indirect prompt injection attack surface where untrusted data is processed. - Ingestion points: Model responses are ingested into the
llm_judgefunction,pairwise_comparefunction, andSafetyTesterclass inSKILL.md. - Boundary markers: No specific delimiters or boundary markers are used when interpolating untrusted responses into judge prompts; the code uses standard Python string formatting.
- Capability inventory: The skill has the capability to send data to external LLM providers (OpenAI API) for judging and uses the
Bashtool. - Sanitization: There is no evidence of sanitization, escaping, or validation of the untrusted model responses before they are interpolated into the prompt templates.
Audit Metadata