ai-coding-agent-guardrails

Pass

Audited by Gen Agent Trust Hub on Oct 27, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The pull request review workflow in references/details.md ingests untrusted content from PR bodies, branch names, and author metadata. This data is used to determine if a contribution is AI-generated without robust sanitization, creating a surface for indirect prompt injection that could influence automated labeling or workflow logic.
  • Ingestion points: references/details.md reads github.event.pull_request.body and github.head_ref into the detect-agent-pr job.
  • Boundary markers: Absent in the scripts processing the external variables.
  • Capability inventory: The workflow utilizes the GitHub CLI with GH_TOKEN permissions to modify pull request labels (gh pr edit).
  • Sanitization: Absent; external content is evaluated directly via grep for detection patterns.
  • [EXTERNAL_DOWNLOADS]: Fetches and installs security utilities from well-known sources, including the git-secrets tool from the official Amazon Labs repository and the TruffleHog scanner from Truffle Security.
  • [COMMAND_EXECUTION]: Provides administrative helper scripts that execute system-level commands, such as useradd, setfacl, and iptables, to configure restricted workspace environments and network controls.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 27, 2026, 04:56 AM