alterlab-syllabus-ai-policy
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides a surface for indirect prompt injection by using the WebFetch tool to retrieve institutional academic-integrity codes from external URLs supplied by users. This content is then interpolated into policy statements without explicit sanitization or boundary markers.
- Ingestion points: The skill uses
WebFetchto read linked institutional codes from user-supplied URLs as described in theSKILL.mdcompatibility notes. - Boundary markers: There are no specific boundary markers or 'ignore' instructions for the fetched content defined in the prompt guidelines or the Python scripts.
- Capability inventory: The skill possesses
Write,Edit, andBash(restricted to Python) capabilities, allowing it to generate files and execute local logic based on the ingested data. - Sanitization: The
scripts/policy_builder.pyscript performs direct string interpolation of user-supplied and externally fetched data into the final Markdown policy without validation or escaping.
Audit Metadata