audit-augmentation

Pass

Audited by Gen Agent Trust Hub on Sep 17, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process data from external files which can be controlled by an attacker in a repository context.
  • Ingestion points: The skill instructions in SKILL.md and the format reference in references/formats.md detail the loading of data from SARIF results (results.sarif), weAudit annotation files (.vscode/*.weaudit), and binary graph JSON exports (binary_graph.json).
  • Boundary markers: There are no explicit boundary markers or instructions to the AI agent to ignore or treat content within these files as data rather than instructions.
  • Capability inventory: The skill leverages the trailmark library to perform various graph operations including augment_sarif, augment_weaudit, and augment_binary, which involve annotating code nodes and creating new subgraphs based on the external input.
  • Sanitization: The instructions do not specify any explicit sanitization or filtering of the content within the ingested files, relying on the underlying trailmark engine's internal parsing logic.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 17, 2026, 08:09 AM