Agent-layer security monitoring, drift detection, and integrity verification for OpenClaw environments. Protects cognitive architecture files, audits skill supply chains, and monitors CVE advisories.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "OpenClaw Security Suite (ClawSec)"
slug: "openclaw-security-suite-clawsec"
description: "Agent-layer security monitoring, drift detection, and integrity verification for OpenClaw environments. Protects cognitive architecture files, audits skill supply chains, and monitors CVE advisories."
github_stars: 1018
verification: "security_reviewed"
source: "https://github.com/prompt-security/clawsec"
author: "Prompt Security"
publisher_type: "individual"
category: "Security & Verification"
framework: "OpenClaw"
tool_ecosystem:
github_repo: "prompt-security/clawsec"
github_stars: 1018
---
# OpenClaw Security Suite (ClawSec)
Agent-layer security monitoring, drift detection, and integrity verification for OpenClaw environments. Protects cognitive architecture files, audits skill supply chains, and monitors CVE advisories.
## Prerequisites
OpenClaw (or compatible agent), ClawHub CLI, Node.js runtime
## Installation
Use the upstream install or setup path that matches your environment:
- npm install
- npm run dev
- npm run gen:wiki-llms
- npm run build
Requirements and caveats from upstream:
- Node.js 20+
- Python 3.10+ (for offline tools)
- Validate with python utils/validate_skill.py skills/your-skill
Basic usage or getting-started notes:
- [](public/video/install-demo.mp4)
- Direct link: [install-demo.mp4](public/video/install-demo.mp4)
- ### Drift Detection Demo (soul-guardian)
- Source: https://github.com/prompt-security/clawsec
- Extracted from upstream docs: https://raw.githubusercontent.com/prompt-security/clawsec/HEAD/README.md
## Documentation
- https://prompt.security/clawsec
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/openclaw-security-suite-clawsec/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.