cicd-automation-workflow-automate
Pass
Audited by Gen Agent Trust Hub on Aug 9, 2026
Risk Level: SAFE
Full Analysis
- [DATA_EXFILTRATION]: The skill implements secret management best practices by using CI/CD environment secrets and local environment files for development. No unauthorized network exfiltration or hardcoded credentials were identified in the analysis of the scripts and workflows.
- [EXTERNAL_DOWNLOADS]: The skill references well-known GitHub Actions and CLI tools from established providers and open-source communities (e.g., GitHub, AWS, HashiCorp, Aqua Security, Snyk). All package installations utilize official registries such as NPM and PyPI.
- [PROMPT_INJECTION]: The workflow analysis script in the playbook processes external project data like README files and configuration manifests to provide recommendations. The implementation uses safe parsing methods (yaml.safe_load) and limits its analysis to structural patterns, effectively mitigating risks of indirect prompt injection from untrusted project files.
- [REMOTE_CODE_EXECUTION]: Script templates and automation examples provided in the playbook follow standard development patterns for CI/CD. These resources do not involve the dynamic execution of untrusted code, unsafe data deserialization, or unauthorized command execution.
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