ai-content-detection
Pass
Audited by Gen Agent Trust Hub on Oct 24, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted input text for analysis and interpolates it directly into a prompt for LLM evaluation, creating a vulnerability to malicious instructions embedded in the analyzed content.
- Ingestion points: The
textinput variable processed by the local analysis functions and the LLM judge pipeline inSKILL.md. - Boundary markers: The skill instructions suggest informing the LLM that the text is data, but the provided code snippet uses simple string interpolation without robust delimiters like XML tags or clear separators.
- Capability inventory: Network communication and model interaction through the
@anthropic-ai/sdklibrary. - Sanitization: No input sanitization or filtering is performed on the analyzed text before it is sent to the LLM judge.
- [INDIRECT_PROMPT_INJECTION]: The metadata file
_scores.jsoncontains a pre-defined security verdict of "SAFE", which is a self-referential claim designed to influence security assessment results. - Ingestion points: The
security.verdictfield within the_scores.jsonfile. - Boundary markers: None.
- Capability inventory: None.
- Sanitization: None.
Audit Metadata