cicd-automation-workflow-automate
Pass
Audited by Gen Agent Trust Hub on Jun 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security threats were identified in the skill's instructions or referenced implementation playbook.
- [EXTERNAL_DOWNLOADS]: The skill references standard, well-known GitHub Actions and established package managers for environment setup and CI/CD execution.
- Evidence: References to official actions from GitHub, AWS, Snyk, and Aqua Security.
- [COMMAND_EXECUTION]: Includes a Python analysis script and shell scripts for development setup and workflow management.
- Evidence:
WorkflowAnalyzerclass inresources/implementation-playbook.mdreads project files;scripts/setup-dev-environment.shexecutes installation and Docker commands. - [DATA_EXFILTRATION]: Network operations target legitimate, well-known services for standard development operations.
- Evidence: Standard push/pull operations with GitHub and Docker Hub; deployment calls to AWS APIs.
- [PROMPT_INJECTION]: The skill identifies surfaces where untrusted data could influence behavior (indirect injection) but manages this risk as part of its primary functional purpose.
- Ingestion points:
resources/implementation-playbook.mdcontains code to read project files such as READMEs and workflow YAMLs. - Boundary markers: Absent from the generic code templates.
- Capability inventory: Shell command execution (NPM, Docker, AWS) and configuration file generation.
- Sanitization: Employs
yaml.safe_load()for parsing configuration files.
Audit Metadata