github-agentic-workflows
Pass
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides instructions for building agents that ingest untrusted data from GitHub Issues, Pull Requests, and external web sources. This creates a surface for indirect prompt injection attacks.
- Ingestion points: Untrusted data enters the agent context through GitHub event triggers (
on: issues,on: pull_request) and theweb-fetchtool as described in SKILL.md. - Boundary markers: The documentation specifically recommends the use of
safe-inputswith strict schemas and markdown delimiters to isolate untrusted data. - Capability inventory: The skill describes tools for GitHub API access (
github:), shell command execution (bash:), and file system modification (edit:,create:). - Sanitization: Security mechanisms like "Threat Detection" and "Safe Outputs" (which limit write operations) are documented as primary sanitization and risk mitigation strategies.
- [EXTERNAL_DOWNLOADS]: The documentation references external resources and extensions from the official GitHub organization (
github/gh-aw) and the vendor's own repository (Hack23/riksdagsmonitor). These references point to trusted or author-owned sources. - [SAFE]: Security best practices are followed throughout the documentation. For example, all mentioned credentials use standard GitHub Actions secret syntax (e.g.,
${{ secrets.GITHUB_TOKEN }}) rather than hardcoded values.
Audit Metadata