agentic-actions-auditor

Name: agentic-actions-auditor
Availability: InStock
Author: manuelbrandner85

Audit GitHub Actions workflows for AI agent security vulnerabilities and prompt injection risks.

Updated Nov 23, 2025

Search Tags:#security #static-analysis #github-actions #ci-cd #ai-agents #prompt-injection

Ready to run

npx skills add https://github.com/manuelbrandner85/Weltenbibliothekapp --skill agentic-actions-auditor-manuelbrandner85

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentic-actions-auditor
Source: https://github.com/manuelbrandner85/Weltenbibliothekapp/tree/main/.agents/skills/agentic-actions-auditor
Command: npx skills add https://github.com/manuelbrandner85/Weltenbibliothekapp --skill agentic-actions-auditor-manuelbrandner85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies security vulnerabilities in GitHub Actions workflows that integrate AI coding agents, preventing unauthorized access and prompt injection attacks.

Core Features & Use Cases

Static Security Analysis: Scans workflow files for dangerous configurations like wildcard allowlists and unsafe sandbox settings.
Attack Vector Detection: Detects data flow paths where attacker-controlled input reaches AI prompts, such as env var intermediaries or direct expression injection.
Use Case: Use this tool before merging a new workflow that utilizes Claude Code Action or Gemini CLI to ensure that external contributors cannot trigger AI agents to execute arbitrary code or exfiltrate secrets.

Quick Start

Run the agentic actions auditor on the current repository to identify potential security risks in your GitHub Actions workflows.

Frequently Asked Questions about agentic-actions-auditor

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

FAQPage Schema

How do I check GitHub Actions workflows for AI prompt injection risks?▼

To check GitHub Actions workflows for AI prompt injection risks, scan your CI/CD pipeline configurations to detect dangerous sandbox settings, wildcard user allowlists, and attacker-controlled data flow paths reaching AI prompts.

What is static analysis for CI/CD pipeline security?▼

Static analysis for CI/CD pipeline security is the process of scanning workflow files to identify dangerous configurations and attack vectors, such as unsafe sandbox settings and wildcard allowlists, before merging AI agent integrations.

Does this security audit work with Claude Code Action and Gemini CLI?▼

Yes, this security audit works with AI coding agents like Claude Code Action and Gemini CLI by evaluating workflow files and cross-file references to ensure external contributors cannot trigger arbitrary code execution or secret exfiltration.

How do I prevent unauthorized access in AI-driven CI/CD pipelines?▼

You prevent unauthorized access in AI-driven CI/CD pipelines by analyzing workflow configurations for attacker-controlled input intermediaries, such as environment variables or direct expression injection, that could compromise AI agent deployment.

What are common attack vectors in GitHub Actions AI agent integrations?▼

Common attack vectors in GitHub Actions AI agent integrations include dangerous sandbox settings, wildcard user allowlists, and data flow paths where attacker-controlled input reaches AI prompts via environment variable intermediaries or direct expression injection.

Why do I need to audit workflow files before merging AI coding agents?▼

You need to audit workflow files before merging AI coding agents to identify potential security risks, ensuring external contributors cannot manipulate data flow paths to execute arbitrary code or exfiltrate secrets.