data-analysis

Pass

Audited by Gen Agent Trust Hub on Sep 7, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The transcript analysis service logic in refs/analysis-patterns.md contains a vulnerability surface where untrusted data could influence agent behavior.
  • Ingestion points: Transcript content is retrieved from the Supabase transcripts database table and interpolated into an AI prompt.
  • Boundary markers: The prompt template lacks delimiters (such as XML tags or triple quotes) or specific instructions to the model to treat the transcript content as data rather than instructions.
  • Capability inventory: The AI's response is used to update the themes, key_quotes, and ai_summary fields in the database via the supabase.from('transcripts').update method.
  • Sanitization: The implementation uses JSON.parse on the raw AI response without validating the data against a schema or sanitizing the content before the database write operation.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 7, 2026, 05:52 AM
Security Audit — agent-trust-hub — data-analysis