Overview
- Skill Key
- atlaspa/openclaw-arbiter
- Author
- atlaspa
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/atlaspa/openclaw-arbiter
- Latest Commit SHA
- 8d6d656ba2a0310eb7f00a823326361a00478a40
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-arbiter 技能。 若已安装,则直接安装 openclaw-arbiter 技能。
# OpenClaw Arbiter
Audits installed skills to report exactly what system resources each one accesses — network, subprocess, file I/O, environment variables, and unsafe operations.
## The Problem
You install skills and trust them blindly. A skill that claims to format markdown could also open network connections, execute shell commands, or read your environment variables. Nothing reports what permissions each skill actually uses.
## Commands
### Full Audit
Deep audit of all installed skills with line-level findings.
```bash
python3 {baseDir}/scripts/arbiter.py audit --workspace /path/to/workspace
```
### Audit Single Skill
```bash
python3 {baseDir}/scripts/arbiter.py audit openclaw-warden --workspace /path/to/workspace
```
### Permission Matrix
Compact table showing permission categories per skill.
```bash
python3 {baseDir}/scripts/arbiter.py report --workspace /path/to/workspace
```
### Quick Status
One-line summary of permission risk.
```bash
python3 {baseDir}/scripts/arbiter.py status --workspace /path/to/workspace
```
## What It Detects
| Category | Risk | Examples |
|----------|------|----------|
| **Serialization** | CRITICAL | pickle, eval(), exec(), __import__ |
| **Subprocess** | HIGH | subprocess, os.system, Popen, command substitution |
| **Network** | HIGH | urllib, requests, curl, wget, hardcoded URLs |
| **File Write** | MEDIUM | open('w'), shutil.copy, os.remove, rm |
| **Environment** | MEDIUM | os.environ, os.getenv, os.putenv |
| **Crypto** | LOW | hashlib, hmac, ssl |
| **File Read** | LOW | open('r'), os.walk, glob |
## Exit Codes
- `0` — Clean, all skills within normal bounds
- `1` — Elevated permissions detected (review needed)
- `2` — Critical permissions detected (action needed)
## 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 Arbiter
Permission auditor for [OpenClaw](https://github.com/openclaw/openclaw), [Claude Code](https://docs.anthropic.com/en/docs/claude-code), and any Agent Skills-compatible tool.
Reports exactly what system resources each installed skill accesses: network, subprocess, file I/O, environment variables, and unsafe operations like eval/pickle.
## Install
```bash
git clone https://github.com/AtlasPA/openclaw-arbiter.git
cp -r openclaw-arbiter ~/.openclaw/workspace/skills/
```
## Usage
```bash
# Full audit of all skills
python3 scripts/arbiter.py audit
# Audit a specific skill
python3 scripts/arbiter.py audit openclaw-warden
# Permission matrix (compact table)
python3 scripts/arbiter.py report
# Quick status
python3 scripts/arbiter.py status
```
## What It Detects
| Category | Risk | Examples |
|----------|------|----------|
| Serialization | CRITICAL | pickle, eval(), exec(), __import__ |
| Subprocess | HIGH | subprocess, os.system, Popen |
| Network | HIGH | urllib, requests, curl, wget, URLs |
| File Write | MEDIUM | open('w'), shutil, os.remove |
| Environment | MEDIUM | os.environ, os.getenv |
| Crypto | LOW | hashlib, hmac, ssl |
| File Read | LOW | open('r'), os.walk, glob |
|---------|------|-----|
| Permission detection | Yes | Yes |
| Permission matrix | Yes | Yes |
| Line-level findings | Yes | Yes |
| **Revoke excess permissions** | - | Yes |
| **Quarantine over-privileged skills** | - | Yes |
| **Enforce permission policies** | - | Yes |
| **Pre-install permission gate** | - | Yes |
## Requirements
- Python 3.8+
- No external dependencies (stdlib only)
- Cross-platform: Windows, macOS, Linux
## License
MIT
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