Unified Security Skill for Openclaw

A comprehensive security auditing and hardening engine designed to protect codebases from vulnerabilities introduced during rapid AI-assisted development.

selimerunkut
v1.0.0
Mar 23, 2026
0
753
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install unified-security-auditor

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install unified-security-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Unified Security Skill?

The Unified Security skill is an expert-level auditor for your AI coding agents, specifically engineered to bridge the gap between fast-paced development and robust security. It synthesizes industry standards like the OWASP Top 10 (2025) and ASVS 5.0 with modern requirements for agentic AI safety. By integrating this into your Openclaw Skills library, you ensure that every line of code—whether human-written or AI-generated—is scrutinized for authentication flaws, injection risks, and supply chain vulnerabilities.

Beyond traditional static analysis, this skill focuses on the unique risks of the modern stack, including CI/CD agent hardening and the prevention of vibe-coded pitfalls. It operates on a fail-closed philosophy, ensuring that missing configurations lead to restricted access rather than security gaps. This makes it an indispensable tool for developers who need to maintain a high velocity without sacrificing the integrity of their production environments.

Unified Security Skill Use Cases

  • Reviewing pull requests for authentication, authorization, and session management flaws.
  • Hardening CI/CD workflows that utilize AI agents to prevent prompt injection or goal hijacking.
  • Auditing database access layers for Row Level Security (RLS) and secure defaults.
  • Evaluating third-party dependencies for supply chain risk signals and unmaintained status.
  • Generating comprehensive security audit reports with automated diff-based remediation.

How Unified Security Skill Works

  1. The skill initializes by scanning the project environment for secrets, environment variables, and configuration files.
  2. It maps the codebase against a multi-layered security framework, including OWASP 2025 and ASVS 5.0 benchmarks.
  3. The agent identifies immediate-flag patterns such as client-side exposed keys or unverified webhooks.
  4. For AI-specific workflows, it evaluates agentic tools and communication channels for cascading failure risks.
  5. It generates a prioritized report, categorizing findings from Low to Critical severity with specific before/after code fixes.
  6. Proactive hardening occurs during code generation, where the skill enforces secure-by-default patterns and least-privilege access.

Unified Security Skill Setup

To integrate this security engine into your workflow, add it to your Openclaw Skills configuration:

# Install the unified-security skill into your agent environment
openclaw install unified-security

# Run a security audit on your current directory
openclaw run unified-security --audit .

Unified Security Skill Data Schema & Taxonomy

The skill organizes findings and metadata into a structured taxonomy to ensure clear remediation paths:

Data Point Description
Severity Ranked as Critical, High, Medium, or Low based on exploitability.
Vulnerability Map Links findings to OWASP Top 10 (2025) or ASVS 5.0 categories.
Remediation Markdown diffs showing the exact code change required for hardening.
Audit Logs Markdown files saved locally with a YYYY-MM-DD timestamp for historical tracking.

Unified Security Skill Advanced Features

  • Agentic AI Security (OWASP 2026): Specialized checks for goal hijacking, tool misuse, and rogue agent monitoring.
  • Supply Chain Intelligence: Flags high-risk dependency features like FFI or unsafe deserialization.
  • CI/CD Action Hardening: Specific protection patterns for GitHub Actions involving Claude, Gemini, or OpenAI.
  • Insecure Default Detection: Differentiates between test fixtures and production-critical fail-open configurations.

SKILL.md


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