agentsop-metric-design
Pass
Audited by Gen Agent Trust Hub on Sep 4, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides instructions and code for evaluating untrusted model outputs. 1. Ingestion points: The
pred.answerproperty is ingested in themetricfunction templates inSKILL.mdand theAppendix. 2. Boundary markers: Not present; untrusted input is directly interpolated into judge prompts. 3. Capability inventory: No dangerous capabilities such as shell execution, file writes, or network requests are included in the judge implementation. 4. Sanitization: No explicit sanitization or filtering is applied to the untrusted input. The skill mitigates this through architectural recommendations like decomposing judges into narrow yes/no tasks and performing mandatory human calibration. - [DATA_EXFILTRATION]: The documentation file
references/R1-source-evidence.mdcontains hardcoded absolute file paths from the author's local development environment (e.g.,/Users/5imp1ex/Desktop/Skill-Workplace/...). These represent static documentation artifacts rather than active attempts to access or exfiltrate data from a user's local system.
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