ciso-agent-security for Openclaw

A comprehensive cybersecurity skill for AI agents to conduct red team patrols, vulnerability assessments, and posture scoring using industry-standard security frameworks.

crevita
v1.0.0
Mar 24, 2026
0
737
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install ciso-agent-security

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 ciso-agent-security 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 ciso-agent-security?

The ciso-agent-security skill transforms an AI agent into a specialized Chief Information Security Officer (CISO) capable of defending autonomous systems. It integrates world-class frameworks like MITRE ATLAS, OWASP Top 10 for LLMs and Agentic Applications, and NIST AI RMF to ensure a rigorous defense-in-depth strategy. By leveraging Openclaw Skills, developers can automate the identification of adversarial tactics, prompt injection vulnerabilities, and tool misuse risks across their multi-agent environments.

This skill is designed for high-stakes environments where AI agents have significant agency. It provides the logical structure for nightly patrols, automated quarantine procedures for failing agents, and standardized patch generation. It ensures that security is not an afterthought but a continuous, automated process that evolves alongside the latest threats in the agentic AI landscape.

ciso-agent-security Use Cases

  • Automating nightly security patrols across multi-agent systems to identify prompt injection and data leakage.
  • Conducting structured red team exercises based on MITRE ATLAS techniques to test system resilience.
  • Scoring the security posture of new AI agents before they are deployed into production environments.
  • Enforcing automated quarantine and patching for agents that fall below critical safety thresholds.
  • Validating trust boundaries between foundation models, data layers, and tool integrations using the CSA MAESTRO framework.

How ciso-agent-security Works

  1. Target Selection: The agent selects a target within the system based on a rotating schedule to ensure 100% weekly coverage.
  2. Vulnerability Scanning: It performs comprehensive scans against the OWASP Top 10 for both LLM and Agentic applications.
  3. Red Team Execution: The skill triggers targeted attack simulations using specific MITRE ATLAS technique IDs like AML.T0051.
  4. Layered Assessment: It evaluates the system across all seven CSA MAESTRO layers, from the foundation model to deployment operations.
  5. Posture Scoring: A weighted security score (0-100) is generated based on injection resistance, tool boundaries, and data isolation.
  6. Enforcement: If the score is below 60, the agent is quarantined, and a Tier 2 approval task for a security patch is automatically generated.

ciso-agent-security Setup

To integrate this skill into your Openclaw Skills environment, follow these steps:

  1. Clone the Skill: Add the ciso-agent-security repository to your local agent skills directory.
  2. Initialize Environment: Ensure your agent has network access to official security documentation for real-time framework updates.
  3. Configuration:
# Example command to register the security skill
openclaw-cli install ciso-agent-security

# Run an initial security baseline scan
openclaw-cli run-patrol --target "primary-agent"
  1. Set Rotation: Configure the scheduler to trigger the Step 1 patrol procedure on a nightly basis.

ciso-agent-security Data Schema & Taxonomy

The skill maintains a structured security log and metadata taxonomy to track vulnerabilities over time:

Data Category Details Format
Patrol Logs Timestamped results of OWASP and ATLAS scans JSON/Markdown
Posture Scores Weighted metrics across 6 key security dimensions Float (0-100)
Framework Refs Mappings to MITRE ATLAS IDs and OWASP Risk keys String Tags
Quarantine State Status of agents restricted from system execution Boolean
Patch Metadata Documentation of canary tokens and sanitization logic Markdown

ciso-agent-security Advanced Features

  • Multi-Agent Coordination Risks: Uses CSA MAESTRO to model threats specifically arising from agent-to-agent communication.
  • Defensive Prompt Rotation: Automatically varies defensive instructions to prevent attackers from learning static security patterns.
  • Canary Token Injection: Injects hidden tokens into system prompts to detect and alert on unauthorized prompt leakage.
  • Automated Quarantine Enforcement: Immediate isolation of compromised or high-risk agents without human intervention.
  • Official Source Verification: Strictly enforces the use of official URLs for framework updates to prevent AI hallucination or third-party misinformation.

SKILL.md


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