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A security scanner for AI workflows designed specifically for GitHub Actions, detecting risks such as prompt injection, over-privileged tokens, and secret leaks, helping maintainers uphold security standards when adopting AI automation.
Section 01
Agentic Actions Guard is an AI workflow security audit tool designed specifically for GitHub Actions. It aims to detect risks like prompt injection, over-privileged tokens, and secret leaks, helping maintainers uphold security standards when introducing AI automation. The tool supports local execution and CI integration, provides multi-format output, and classifies risks by severity, serving as a crucial safeguard for AI workflow security.
Section 02
With the evolution of AI capabilities, more and more open-source projects are integrating AI agents into GitHub Actions to automate tasks like issue classification and PR reviews. While improving efficiency, this also introduces supply chain security risks. Attackers can exploit AI agents with permissions to launch attacks by controlling inputs such as issue bodies and PR descriptions. Agentic Actions Guard was created to address this emerging threat.
Section 03
The tool is designed based on a clear threat model, focusing on AI workflow-specific attack surfaces: prompt injection, over-privileged tokens, secret leaks, unsafe code checkout, and credential persistence. It also adheres to the maintainer-first principle, supporting local execution, CI-friendly integration, multi-format output (Markdown/JSON/SARIF, etc.), risk grading (critical/high/medium/low), and configurable failure thresholds.
Section 04
The tool has comprehensive scanning capabilities: agent behavior recognition (detecting AI-related Actions), untrusted input detection (identifying inputs like GitHub event context), least privilege check (analyzing GITHUB_TOKEN permissions), checkout mode security (risk checks for pull_request_target), credential management audit (checking settings like persist-credentials), and two-stage workflow mode (read-only analysis → maintainer approval for write operations).
Section 05
Local Installation: python -m pip install git+https://github.com/sho-tado/agentic-actions-guard.git@v1.10.18; Scan: agentic-actions-guard scan . --format markdown; CI Integration: Add a step in your workflow (using sho-tado/agentic-actions-guard@v1.10.18); View Rules: agentic-actions-guard rules.
Section 06
Checklist Before Adopting AI: Evaluate necessity, apply least privilege, validate inputs, isolate credentials, enable audit logs; Continuous Security Operations: Integrate into PR checks, regularly review risk allowlists, follow tool updates, share cases with the community.
Section 07
Agentic Actions Guard is an important step in the evolution of open-source security tools toward the AI era. It not only provides technical detection capabilities but also establishes a security thinking framework for AI workflows. For projects using AI automation, it is an indispensable security foundation, helping maintainers uphold security lines in today's era of enhanced AI capabilities.
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