trace-annotation-tool
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill analyzes user-supplied trace data (CSV, JSON, JSONL) to determine the appropriate visual rendering for the tool. This processing of untrusted external data represents a potential indirect prompt injection surface.
- Ingestion points: Step 1 instructions require the agent to read and sample the user's trace data files to understand field names and nesting.
- Boundary markers: There are no specific delimiters or instructions for the agent to disregard potential instructions embedded within the sampled data.
- Capability inventory: The skill generates executable Python scripts, shell commands for environment setup, and handles local file writing (annotations.jsonl).
- Sanitization: No sanitization, validation, or escaping of the ingested trace data is specified during the analysis or generation steps.
- [EXTERNAL_DOWNLOADS]: The generated tool relies on external packages and remote assets.
- Dependencies: The skill instructs the agent to include
fasthtmlandpython-fasthtmlin the generatedrequirements.txt. Whilefasthtmlis a legitimate framework,python-fasthtmlis a non-standard package name that should be verified. - Remote Assets: The application uses the TailwindCSS CDN (
https://cdn.tailwindcss.com) for styling, which is a well-known and widely used service.
Audit Metadata