om-implement-feature-multi-optimized

Pass

Audited by Gen Agent Trust Hub on Nov 5, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill operates on untrusted external data sources which could contain malicious instructions designed to influence agent behavior.\n
  • Ingestion points: According to references/agentic-setup.md, the skill processes repository and tracker content, including issues, PR bodies, diffs, documentation, and CI logs.\n
  • Boundary markers: references/agentic-setup.md establishes an 'Untrusted content boundary' that explicitly instructs the agent to treat repo/tracker content as data only and to ignore any embedded directives like 'ignore previous instructions' or 'run this command'.\n
  • Capability inventory: The skill possesses the ability to invoke companion tools (om-implement-feature, om-fix), modify the local file system (staging features), and interact with issue trackers via labels and comments.\n
  • Sanitization: The instructions in references/agentic-setup.md mandate regex validation (^[A-Za-z0-9._/-]+$) for externally-sourced values and require shell/path interpolation to be properly quoted.\n- [DYNAMIC_EXECUTION]: The skill workflow involves loading and applying repository-specific instruction extensions at runtime.\n
  • Evidence: SKILL.md and references/agentic-setup.md instruct the agent to check for and apply a repo-local .ai/skills/om-implement-feature-multi-optimized/SKILL.md extension.\n
  • Mitigation: The preflight instructions specifically state that these local extensions cannot relax safety rules, expand tool/network access, or redirect outputs, providing a defensive layer against malicious local configurations.\n- [SAFE]: Heuristic detections of prompt injection are false positives. The phrases identified (e.g., 'ignore previous instructions' in references/agentic-setup.md) are used within the context of security rules designed to prevent the agent from obeying such commands when found in untrusted data.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 5, 2026, 03:50 PM