agentic-actions-auditor

Analyze GitHub Actions workflows for AI agent security issues.

47|5|Updated Apr 25, 2026

Search Tags:#workflow #security #CI/CD #AI #prompt injection #GitHub actions

Ready to run

npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill agentic-actions-auditor-redhatproductsecurity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentic-actions-auditor
Source: https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/agentic-actions-auditor
Command: npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill agentic-actions-auditor-redhatproductsecurity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps identify security weaknesses and potential attack vectors in GitHub Actions workflows that invoke AI agents, ensuring secure CI/CD configurations.

Core Features & Use Cases

Workflow Analysis: Discover and analyze GitHub Actions workflows for embedded AI agent steps.
Vulnerability Detection: Detect prompt injection risks, environment variable leaks, and unsafe sandbox configurations.
Use Case: Security teams can audit repositories to find misconfigurations that could allow malicious inputs to reach AI code assistants, preventing potential exploitation.

Quick Start

Review workflows in a GitHub repository to identify and mitigate security risks associated with AI agent integrations.

Frequently Asked Questions about agentic-actions-auditor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I secure GitHub Actions workflows that invoke AI agents?▼

Securing GitHub Actions workflows with AI agents involves analyzing YAML configurations to detect prompt injection vulnerabilities, environment variable leaks, and unsafe sandbox settings that could allow malicious inputs to reach AI code assistants.

What security risks affect AI integrations in CI/CD pipelines?▼

Security risks affecting AI integrations in CI/CD pipelines include prompt injection, environment variable leaks, and sandbox misconfigurations, which can allow malicious inputs to exploit AI code assistants during automated workflow execution.

How do I audit repository workflows for prompt injection vulnerabilities?▼

Auditing repository workflows for prompt injection vulnerabilities requires parsing GitHub Actions YAML files to locate AI action steps and reviewing their configurations to identify potential attack vectors reaching AI code assistants.

Does this workflow security analysis require specific AI action dependencies?▼

Analyzing workflow security for AI actions requires no specific dependencies, as it parses existing GitHub Actions YAML files directly to identify embedded AI agent steps and evaluate their security configurations.

What are the limitations of analyzing AI workflows for sandbox misconfigurations?▼

Analyzing AI workflows for sandbox misconfigurations is limited to parsing YAML configurations within GitHub Actions, focusing strictly on identifying unsafe settings rather than dynamically testing the pipeline's runtime execution environment.