---

name: openclaw-signet description: "Cryptographic skill verification. Sign installed skills with SHA-256 content hashes and verify they haven't been tampered with. Detects modified, added, and removed files within skill directories. Free alert layer — upgrade to openclaw-signet-pro for rejection, quarantine, and trust chain restoration." user-invocable: true metadata: {"openclaw":{"emoji":"🔏","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}

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.

Need automated enforcement? Upgrade to openclaw-signet-pro for rejection, quarantine, and trust chain restoration.

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.