Overview
- Skill Key
- atlaspa/openclaw-signet
- Author
- atlaspa
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/atlaspa/openclaw-signet
- Latest Commit SHA
- 85bdc0d8d27225c4cacf8252bf1ef96d0d06424e
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 openclaw-signet 技能。 若已安装,则直接安装 openclaw-signet 技能。
# 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.
# OpenClaw Signet Cryptographic skill verification for [OpenClaw](https://github.com/openclaw/openclaw), [Claude Code](https://docs.anthropic.com/en/docs/claude-code), and any Agent Skills-compatible tool. Sign installed skills with SHA-256 content hashes. Verify they haven't been tampered with. Detect exactly which files changed. ## Install ```bash git clone https://github.com/AtlasPA/openclaw-signet.git cp -r openclaw-signet ~/.openclaw/workspace/skills/ ``` ## Usage ```bash # Sign all installed skills python3 scripts/signet.py sign # Sign a specific skill python3 scripts/signet.py sign openclaw-warden # Verify all skills python3 scripts/signet.py verify # List signed skills python3 scripts/signet.py list # Quick status python3 scripts/signet.py status ``` ## How It Works ``` sign: Compute SHA-256 of every file → composite hash → store in manifest verify: Recompute hashes → compare to manifest → report differences ``` If any file within a skill is modified, added, or removed, the composite hash changes and `verify` reports exactly what changed. |---------|------|-----| | SHA-256 skill signing | Yes | Yes | | Tamper detection | Yes | Yes | | File-level change report | Yes | Yes | | Trust manifest | Yes | Yes | | **Reject unsigned skills** | - | Yes | | **Quarantine tampered skills** | - | Yes | | **Restore from trusted state** | - | Yes | | **Pre-install verification** | - | Yes | ## Requirements - Python 3.8+ - No external dependencies (stdlib only) - Cross-platform: Windows, macOS, Linux ## License MIT
heyixuan2
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pipeline: search → generate → analyze → colorize → preview → open BS → user slice → print → monitor. Supports all 9 Bambu Lab printers (A1 Mini, A1, P1S, P2S, X1C, X1E, H2C, H2S, H2D).
edholofy
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning required.
lethehades
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
capt-marbles
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.
carlzhao007
飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化。 使用场景:飞书自动化工作流、任务进度追踪、批量任务处理、需要实时反馈的场景。
carlulsoe
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.