ClawSec is a complete security skill suite for AI agent platforms. It provides unified security monitoring, integrity verification, and threat intelligence-protecting your agent's cognitive architecture against prompt injection, drift, and malicious instructions.

• OpenClaw (MoltBot, Clawdbot, and clones) - Full suite with skill installer, file integrity protection, and security audits
• NanoClaw - Containerized WhatsApp bot security with MCP tools for advisory monitoring, signature verification, and file integrity
• Hermes - Hermes-native security skills for signed advisory feed verification, advisory-aware guarded verification, deterministic attestation generation, fail-closed verification, and baseline drift detection

• 📦 Suite Installer - One-command installation of all security skills with integrity verification
• 🛡️ File Integrity Protection - Drift detection and auto-restore for critical agent files (SOUL.md, IDENTITY.md, etc.)
• 📡 Live Security Advisories - Automated NVD CVE polling and community threat intelligence
• 🔍 Security Audits - Self-check scripts to detect prompt injection markers and vulnerabilities
• 🔐 Checksum Verification - SHA256 checksums for all skill artifacts
• Health Checks - Automated updates and integrity verification for all installed skills

Animated previews below are GIFs (no audio). Click any preview to open the full MP4 with audio.

Direct link: install-demo.mp4

Direct link: soul-guardian-demo.mp4

# Install the ClawSec security suite
npx clawhub@latest install clawsec-suite

After install, the suite can:

1. Discover installable protections from the published skills catalog
2. Verify release integrity using signed checksums
3. Set up advisory monitoring and hook-based protection flows
4. Add optional scheduled checks

Manual/source-first option:

Read https://github.com/prompt-security/clawsec/releases/latest/download/SKILL.md and follow the installation instructions.

Copy this instruction to your AI agent:

Install ClawSec with npx clawhub@latest install clawsec-suite, then complete the setup steps from the generated instructions.

ClawSec scripts are split between:

• Cross-platform Node/Python tooling (npm run build, hook/setup .mjs, utils/*.py)
• POSIX shell workflows (*.sh, most manual install snippets)

For Linux/macOS (bash/zsh):

• Use unquoted or double-quoted home vars: export INSTALL_ROOT="$HOME/.openclaw/skills"
• Do not single-quote expandable vars (for example, avoid '$HOME/.openclaw/skills')

For Windows (PowerShell):

• Prefer explicit path building:
  • $env:INSTALL_ROOT = Join-Path $HOME ".openclaw\\skills"
  • node "$env:INSTALL_ROOT\\clawsec-suite\\scripts\\setup_advisory_hook.mjs"
• POSIX .sh scripts require WSL or Git Bash.

Troubleshooting: if you see directories such as ~/.openclaw/workspace/$HOME/..., a home variable was passed literally. Re-run using an absolute path or an unquoted home expression.

Detailed platform and suite docs live in the wiki modules:

• NanoClaw: wiki/modules/nanoclaw-integration.md
• Hermes: wiki/modules/hermes-attestation-guardian.md
• ClawSec Suite (OpenClaw): wiki/modules/clawsec-suite.md
• CI/CD pipelines: wiki/modules/automation-release.md

Quick install links:

• NanoClaw install: skills/clawsec-nanoclaw/INSTALL.md
• Hermes skill package: skills/hermes-attestation-guardian/
• Suite package: skills/clawsec-suite/

ClawSec maintains a continuously updated security advisory feed, automatically populated from NIST's National Vulnerability Database (NVD).

# Fetch latest advisories
curl -s https://clawsec.prompt.security/advisories/feed.json | jq '.advisories[] | select(.severity == "critical" or .severity == "high")'

Canonical endpoint: https://clawsec.prompt.security/advisories/feed.json
Compatibility mirror (legacy): https://clawsec.prompt.security/releases/latest/download/feed.json

The feed polls CVEs related to:

• OpenClaw Platform: OpenClaw, clawdbot, Moltbot
• NanoClaw Platform: NanoClaw, WhatsApp-bot, baileys
• Prompt injection patterns
• Agent security vulnerabilities

ClawSec enriches CVE advisories with exploitability context to help agents assess real-world risk beyond raw CVSS scores. Newly analyzed advisories can include:

• Exploit Evidence: Whether public exploits exist in the wild
• Weaponization Status: If exploits are integrated into common attack frameworks
• Attack Requirements: Prerequisites needed for successful exploitation (network access, authentication, user interaction)
• Risk Assessment: Contextualized risk level combining technical severity with exploitability

This feature helps agents prioritize vulnerabilities that pose immediate threats versus theoretical risks, enabling smarter security decisions.

NVD CVE Advisory:

{
  "id": "CVE-2026-XXXXX",
  "severity": "critical|high|medium|low",
  "type": "vulnerable_skill",
  "platforms": ["openclaw", "nanoclaw"],
  "title": "Short description",
  "description": "Full CVE description from NVD",
  "published": "2026-02-01T00:00:00Z",
  "cvss_score": 8.8,
  "nvd_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-XXXXX",
  "exploitability_score": "high|medium|low|unknown",
  "exploitability_rationale": "Why this CVE is or is not likely exploitable in agent deployments",
  "references": ["..."],
  "action": "Recommended remediation"
}

Community Advisory:

{
  "id": "CLAW-2026-0042",
  "severity": "high",
  "type": "prompt_injection|vulnerable_skill|tampering_attempt",
  "platforms": ["nanoclaw"],
  "title": "Short description",
  "description": "Detailed description from issue",
  "published": "2026-02-01T00:00:00Z",
  "affected": ["skill-name@1.0.0"],
  "source": "Community Report",
  "github_issue_url": "https://github.com/.../issues/42",
  "action": "Recommended remediation"
}

Platform values:

• "openclaw" - OpenClaw/Clawdbot/MoltBot only
• "nanoclaw" - NanoClaw only
• ["openclaw", "nanoclaw"] - Both platforms
• (empty/missing) - All platforms (backward compatible)

CI/CD pipeline details were moved to the wiki module page:

• wiki/modules/automation-release.md

Related operations docs:

• wiki/security-signing-runbook.md
• wiki/migration-signed-feed.md

ClawSec includes Python utilities for local skill development and validation.

Validates a skill folder against the required schema:

python utils/validate_skill.py skills/clawsec-feed

Checks:

• skill.json exists and is valid JSON
• Required fields present (name, version, description, author, license)
• SBOM files exist and are readable
• OpenClaw metadata is properly structured

Generates checksums.json with SHA256 hashes for a skill:

python utils/package_skill.py skills/clawsec-feed ./dist

Outputs:

• checksums.json - SHA256 hashes for verification

• Node.js 20+
• Python 3.10+ (for offline tools)
• npm

# Install dependencies
npm install

# Start development server
npm run dev

# Populate skills catalog from local skills/ directory
./scripts/populate-local-skills.sh

# Populate advisory feed with real NVD CVE data
./scripts/populate-local-feed.sh --days 120

# Generate wiki llms exports from wiki/ (for local preview)
./scripts/populate-local-wiki.sh

# Direct generator entrypoint (used by predev/prebuild)
npm run gen:wiki-llms

Notes:

• npm run dev and npm run build automatically regenerate wiki llms.txt exports (predev/prebuild hooks).
• public/wiki/ is generated output (local + CI) and is intentionally gitignored.

npm run build

├── advisories/
│   ├── feed.json                    # Main advisory feed
│   ├── feed.json.sig                # Detached signature for feed.json
│   └── feed-signing-public.pem      # Public key for feed verification
├── components/                      # React components
├── pages/                           # Route/page components
├── wiki/                            # Source-of-truth docs (synced to GitHub Wiki)
├── scripts/
│   ├── generate-wiki-llms.mjs       # wiki/*.md -> public/wiki/**/llms.txt
│   ├── populate-local-feed.sh       # Local CVE feed populator
│   ├── populate-local-skills.sh     # Local skills catalog populator
│   ├── populate-local-wiki.sh       # Local wiki llms export populator
│   ├── prepare-to-push.sh           # Local CI-style quality gate
│   ├── validate-release-links.sh    # Release link checks
│   └── release-skill.sh             # Manual skill release helper
├── skills/
│   ├── claw-release/                # 🚀 Release automation workflow skill
│   ├── clawsec-suite/               # 📦 Suite installer (skill-of-skills)
│   ├── clawsec-feed/                # 📡 Advisory feed skill
│   ├── clawsec-scanner/             # 🔍 Vulnerability scanner (deps + SAST + OpenClaw DAST)
│   ├── clawsec-nanoclaw/            # 📱 NanoClaw platform security suite
│   ├── clawsec-clawhub-checker/     # 🧪 ClawHub reputation checks
│   ├── clawtributor/                # 🤝 Community reporting skill
│   ├── hermes-attestation-guardian/ # 🛡️ Hermes attestation + drift verification
│   ├── openclaw-audit-watchdog/     # 🔭 Automated audit skill
│   └── soul-guardian/               # 👻 File integrity skill
├── utils/
│   ├── package_skill.py             # Skill packager utility
│   └── validate_skill.py            # Skill validator utility
├── .github/workflows/
│   ├── ci.yml                       # Cross-platform lint/type/build + tests
│   ├── pages-verify.yml             # PR-only pages build/signing verification
│   ├── poll-nvd-cves.yml            # CVE polling pipeline
│   ├── community-advisory.yml       # Approved issue -> advisory PR
│   ├── skill-release.yml            # Skill release/signing pipeline
│   ├── deploy-pages.yml             # GitHub Pages deployment
│   ├── wiki-sync.yml                # Sync repo wiki/ to GitHub Wiki
│   ├── codeql.yml                   # CodeQL security analysis
│   └── scorecard.yml                # OpenSSF Scorecard checks
└── public/                          # Static assets + generated wiki exports

We welcome contributions! See CONTRIBUTING.md for guidelines.

Found a prompt injection vector, malicious skill, or security vulnerability? Report it via GitHub Issues:

1. Open a new issue using the Security Incident Report template
2. Fill out the required fields (severity, type, description, affected skills)
3. A maintainer will review and add the advisory-approved label
4. The advisory is automatically published to the feed as CLAW-{YEAR}-{ISSUE#}

See CONTRIBUTING.md for detailed guidelines.

1. Create a skill folder under skills/
2. Add skill.json with required metadata and SBOM
3. Add SKILL.md with agent-readable instructions
4. Validate with python utils/validate_skill.py skills/your-skill
5. Submit a PR for review

For all wiki content, edit files under wiki/ in this repository. The GitHub Wiki (<repo>.wiki.git) is synced from wiki/ by .github/workflows/wiki-sync.yml when wiki/** changes on main.

LLM exports are generated from wiki/ into public/wiki/:

• /wiki/llms.txt is the LLM-ready export for wiki/INDEX.md (or a generated fallback index if INDEX.md is missing).
• /wiki/<page>/llms.txt is the LLM-ready export for that single wiki page.

• Source code: GNU AGPL v3.0 or later - See LICENSE for details.
• Fonts in font/: Licensed separately - See font/README.md.