project-documenter
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill's core functionality involves reading and analyzing codebase files and existing documentation. This ingestion of untrusted data is a necessary part of the documentation generation process. \n
- Ingestion points: The skill scans the repository (Step 3) and audits existing documentation (Step 2). \n
- Boundary markers: The skill relies on structured templates and system instructions to process data, though it does not use explicit delimiters for external content. \n
- Capability inventory: The skill has the ability to write multiple files to the repository and generate executable scripts. \n
- Sanitization: The skill includes a dedicated template for MODEL_GUARDRAILS.md which provides guidance on implementing input sanitization and output validation for AI features.\n- [DYNAMIC_EXECUTION]: The 'Self-Heal' mode (Mode 5) generates a suite of Python scripts and a GitHub Actions workflow. These are intended to be committed to the repository to provide automated documentation updates. \n
- Evidence: Source code for scripts such as analyze_codebase_changes.py and update_documentation.py is provided within the skill's reference files. \n
- Analysis: The generated scripts use secure coding practices, such as using list-based arguments for subprocess calls to prevent command injection.\n- [EXTERNAL_DOWNLOADS]: The self-healing system's requirements.txt file specifies dependencies on well-known libraries from trusted AI service providers. \n
- Evidence: References to anthropic, openai, and tiktoken in the generated requirements file.
Audit Metadata