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Openclaw Shield

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aAAaqwq
openclaw-shield

Security audit engine for OpenClaw configurations. Detects vulnerabilities, misconfigurations, secret leaks, and over-privileged agents. Use when the user asks about security, hardening, config review, or audit of their OpenClaw setup.

Overview

PublisheraAAaqwq
RepositoryAGI-Super-Team
Skill nameopenclaw-shield
Stars
98
Forks
23
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aAAaqwq on GitHub. Read the source before you install it.

Installation

Install the Openclaw Shield AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git /tmp/AGI-Super-Team
mkdir -p .claude/skills
cp -r /tmp/AGI-Super-Team/skills/ai-shield-audit .claude/skills/openclaw-shield
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Shield in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openclaw Shield on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openclaw Shield is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenClaw Shield — Security Audit

Audit any OpenClaw config for security vulnerabilities, misconfigurations, and best-practice violations. Produces a structured JSON report with risk scores, findings, and remediation steps.

When to Use

  • User asks to check/audit/review their OpenClaw security
  • User wants to harden their config before deploying
  • User is setting up a new OpenClaw instance
  • User asks about secret leakage or API key exposure in their config
  • Before publishing or sharing any config file

Quick Audit (live config)

bash
node scripts/shield-audit.sh

Or directly:

bash
node SKILL_DIR/bin/shield.js audit ~/.openclaw/openclaw.json --summary

What It Checks (11 categories)

  1. Gateway Auth — missing/weak auth, insecure UI settings
  2. Network Exposure — bind address, Tailscale funnel, wildcard proxies
  3. Channel Security — wildcard allowFrom, missing allowlists
  4. DM Policy — open DM policy without pairing
  5. Subagent Permissions — wildcard allowAgents, circular delegation chains, self-delegation
  6. Tool Permissions — over-privileged agents with tools.profile: "full"
  7. Secret Leakage — API keys, tokens, private keys in plaintext config
  8. Sandbox/Execution — missing workspace isolation, no execution policies
  9. Plugin Config — enabled plugins without channel config
  10. Heartbeat Exposure — sensitive data in heartbeat prompts
  11. Remote Config — unencrypted WebSocket, exposed remote URLs/tokens

Usage

Audit a config file

bash
node SKILL_DIR/bin/shield.js audit <config.json>
node SKILL_DIR/bin/shield.js audit <config.json> --summary   # human-readable

Audit from stdin

bash
cat config.json | node SKILL_DIR/bin/shield.js audit --stdin

Sanitize a config (strip secrets)

bash
node SKILL_DIR/bin/shield.js sanitize <config.json>

Programmatic use

javascript
const { auditConfig } = require('SKILL_DIR/src/audit');
const config = require('./openclaw.json');
const report = auditConfig(config);
console.log(report.risk_level);      // "CRITICAL" | "HIGH" | "MEDIUM" | "LOW"
console.log(report.overall_score);   // 0-100
console.log(report.vulnerabilities); // detailed findings

Output

Returns JSON with: risk_level, overall_score (0-100), vulnerabilities[], vulnerability_count, best_practices_compliance, action_recommended, safe_to_deploy, audit_timestamp.

Workflow for Agent

  1. Load the user's config: cat ~/.openclaw/openclaw.json
  2. Run: node SKILL_DIR/bin/shield.js audit ~/.openclaw/openclaw.json --summary
  3. Present findings to user with prioritized recommendations
  4. Offer to sanitize before sharing: node SKILL_DIR/bin/shield.js sanitize <file>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openclaw Shield AI skill do?

Security audit engine for OpenClaw configurations. Detects vulnerabilities, misconfigurations, secret leaks, and over-privileged agents. Use when the user asks about security, hardening, config review, or audit of their OpenClaw setup.

Why use Openclaw Shield on TypingMind?

Because you install it once and use it with any model. Openclaw Shield is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openclaw Shield in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/ai-shield-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openclaw Shield?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openclaw Shield?

As many as you like. As long as a model supports skills, you can use Openclaw Shield with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openclaw Shield AI skill free?

Yes. It is published on GitHub by aAAaqwq under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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