Best use case
openclaw-signet is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Teams using openclaw-signet should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openclaw-signet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openclaw-signet Compares
| Feature / Agent | openclaw-signet | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill provides specific capabilities for your AI agent. See the About section for full details.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
```bash
python3 {baseDir}/scripts/signet.py sign --workspace /path/to/workspace
```
### Sign Single Skill
```bash
python3 {baseDir}/scripts/signet.py sign openclaw-warden --workspace /path/to/workspace
```
### Verify Skills
Compare current skill state against trusted signatures.
```bash
python3 {baseDir}/scripts/signet.py verify --workspace /path/to/workspace
```
### List Signed Skills
```bash
python3 {baseDir}/scripts/signet.py list --workspace /path/to/workspace
```
### Quick Status
```bash
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.Related Skills
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