mark-evidence
Pass
Audited by Gen Agent Trust Hub on May 11, 2026
Risk Level: SAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted content from Pull Request titles, bodies, commit messages, and comments, as well as external Linear issue data to extract identifiers.
- Ingestion points: PR metadata (GitHub), commit messages (Git), and issue details (Linear MCP).
- Boundary markers: The skill does not explicitly use delimiters to separate instructions from ingested data; however, it uses narrow regex patterns to extract specific formats (e.g., Linear IDs or Slack URLs).
- Capability inventory: The agent has write access to the GitHub repository via the GitHub MCP to post comments and manage labels. It also uses the
gittool to read memento notes. - Sanitization: Data is processed via regular expressions to extract specific identifiers before being formatted into a JSON manifest, which limits the risk of raw content influencing the agent's logic.
- [COMMAND_EXECUTION]: The skill uses standard Git commands to check for memento notes on commits.
- Evidence: Uses
git fetchandgit notes show {sha}in Steps 5 and 9 to manage knowledge tracking metadata stored in Git notes.
Audit Metadata