Skills openclaw-signet

OpenClaw Signet

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/atlaspa/openclaw-signet" ~/.claude/skills/clawdbot-skills-openclaw-signet && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/atlaspa/openclaw-signet" ~/.openclaw/skills/clawdbot-skills-openclaw-signet && rm -rf "$T"
manifest: skills/atlaspa/openclaw-signet/SKILL.md
source content

OpenClaw Signet

Cryptographic verification for installed skills. Sign skills at install time, verify they haven't been tampered with later.

The Problem

You install a skill and it works. Days later, a compromised process modifies files inside the skill directory — injecting code, altering behavior, adding exfiltration. All current defenses are heuristic (regex pattern matching). Nothing mathematically verifies that installed code is unchanged.

Commands

Sign Skills

Generate SHA-256 content hashes for all installed skills and store in trust manifest.

python3 {baseDir}/scripts/signet.py sign --workspace /path/to/workspace

Sign Single Skill

python3 {baseDir}/scripts/signet.py sign openclaw-warden --workspace /path/to/workspace

Verify Skills

Compare current skill state against trusted signatures.

python3 {baseDir}/scripts/signet.py verify --workspace /path/to/workspace

List Signed Skills

python3 {baseDir}/scripts/signet.py list --workspace /path/to/workspace

Quick Status

python3 {baseDir}/scripts/signet.py status --workspace /path/to/workspace

How It Works

  1. sign
    computes SHA-256 hashes of every file in each skill directory
  2. A composite hash represents the entire skill state
  3. verify
    recomputes hashes and compares against the manifest
  4. If any file is modified, added, or removed — the composite hash changes
  5. Reports exactly which files changed within each tampered skill

Exit Codes

  • 0
    — All skills verified
  • 1
    — Unsigned skills detected
  • 2
    — Tampered skills detected

No External Dependencies

Python standard library only. No pip install. No network calls. Everything runs locally.

Cross-Platform

Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.