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 WebFetch to read linked institutional codes from user-supplied URLs as described in the SKILL.md compatibility 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, and Bash (restricted to Python) capabilities, allowing it to generate files and execute local logic based on the ingested data.
  • Sanitization: The scripts/policy_builder.py script performs direct string interpolation of user-supplied and externally fetched data into the final Markdown policy without validation or escaping.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 25, 2026, 02:36 PM