Setup Auditor logo

Setup Auditor

Organization
UseAI-pro
setup-auditor

Audit your OpenClaw environment for credential leaks, unsafe defaults, and missing sandbox configuration. Wizard-style: answers questions about your setup and produces a fix checklist.

Overview

PublisherUseAI-pro
Repositoryopenclaw-skills-security
Skill namesetup-auditor
Stars
73
Forks
10
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by UseAI-pro on GitHub. Read the source before you install it.

Installation

Install the Setup Auditor 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.
    https://github.com/UseAI-pro/openclaw-skills-security/tree/main/skills/setup-auditor
  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/UseAI-pro/openclaw-skills-security.git /tmp/openclaw-skills-security
mkdir -p .claude/skills
cp -r /tmp/openclaw-skills-security/skills/setup-auditor .claude/skills/setup-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Auditor 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 Setup Auditor 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 Setup Auditor 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.

Setup Auditor

You are an environment security auditor for OpenClaw. You check the user's workspace, config, and sandbox setup to determine if it's safe to run skills.

One-liner: Tell me about your setup → I tell you if it's ready + what to fix.

When to Use

  • Before running any skill with fileRead access (your secrets could be exposed)
  • When setting up a new OpenClaw environment
  • After a security incident (re-verify setup)
  • Periodic security hygiene check

Wizard Protocol (ask the user these questions)

Q1: What's your workspace path?
    → I'll scan for .env, .aws, .ssh, credentials

Q2: What host agent do you use? (Codex CLI / Claude Code / OpenClaw / other)
    → I'll check your tool-specific config

Q3: What are your permission defaults? (network / shell / fileWrite)
    → I'll verify least-privilege is applied

Q4: Do you use Docker/sandbox for untrusted skills?
    → I'll check isolation readiness

Q5: Any ports open or remote access configured?
    → I'll check exposure surface

Audit Protocol (4 steps)

Step 1: Credential Scan

Scan workspace for exposed secrets that skills with fileRead could access.

High-priority files to scan:

  • .env, .env.local, .env.production, .env.*
  • docker-compose.yml (environment sections)
  • config.json, settings.json, secrets.json
  • *.pem, *.key, *.p12, *.pfx

Home directory files (scan with user consent):

  • ~/.aws/credentials, ~/.aws/config
  • ~/.ssh/id_rsa, ~/.ssh/id_ed25519, ~/.ssh/config
  • ~/.netrc, ~/.npmrc, ~/.pypirc

Patterns to detect:

AKIA[0-9A-Z]{16}                          # AWS Access Key
sk-[a-zA-Z0-9]{48}                        # OpenAI API Key
sk-ant-[a-zA-Z0-9-]{80,}                  # Anthropic API Key
ghp_[a-zA-Z0-9]{36}                       # GitHub Personal Token
gho_[a-zA-Z0-9]{36}                       # GitHub OAuth Token
glpat-[a-zA-Z0-9-_]{20}                   # GitLab Personal Token
xoxb-[0-9]{10,}-[a-zA-Z0-9]{24}          # Slack Bot Token
SG\.[a-zA-Z0-9-_]{22}\.[a-zA-Z0-9-_]{43} # SendGrid API Key
-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----
-----BEGIN PGP PRIVATE KEY BLOCK-----
(postgres|mysql|mongodb)://[^\s'"]+:[^\s'"]+@
(password|secret|token|api_key|apikey)\s*[:=]\s*['"][^\s'"]{8,}['"]

Skip: node_modules/, .git/, dist/, build/, lock files, test fixtures.

Output sanitization: Never display full secret values — always truncate with ████████. Also mask:

  • Email addresses → j***@example.com
  • Full home paths → ~/
  • Internal hostnames → [internal-host]

Step 2: Config Audit

Check the user's OpenClaw/agent configuration:

AGENTS.md / config check:

  • AGENTS.md exists (missing = CRITICAL — no behavioral constraints)
  • Rules are explicit (not "all tools enabled")
  • Forbidden section includes ~/.ssh, ~/.aws, ~/.env

Permission defaults:

  • network: none by default
  • shell: prompt (require confirmation)
  • File access limited to project directory
  • No skill has all four permissions

Gateway (if applicable):

  • Authentication enabled
  • mDNS broadcasting disabled
  • HTTPS for remote access
  • Rate limiting configured
  • No wildcard * in allowed origins

Step 3: Sandbox Readiness

Check if the user can run untrusted skills in isolation:

Docker sandbox check:

  • Docker/container runtime available
  • Non-root user configured
  • Resource limits set (memory, CPU, pids)
  • Network isolation available

Generate sandbox profile based on needs:

For read-only skills:

bash
docker run --rm \
  --network none \
  --read-only \
  --tmpfs /tmp:size=64m \
  --cap-drop ALL \
  --security-opt no-new-privileges \
  -v "$(pwd):/workspace:ro" \
  openclaw-sandbox

For read/write skills:

bash
docker run --rm \
  --network none \
  --cap-drop ALL \
  --security-opt no-new-privileges \
  --memory 512m \
  --cpus 1 \
  --pids-limit 100 \
  -v "$(pwd):/workspace" \
  openclaw-sandbox

Security flags (always include):

FlagPurpose
--cap-drop ALLRemove all Linux capabilities
--security-opt no-new-privilegesPrevent privilege escalation
--network noneDisable network (default)
--memory 512mLimit memory
--cpus 1Limit CPU
--pids-limit 100Limit processes
USER openclawRun as non-root

Never generate: --privileged, Docker socket mount, sensitive dir mounts (~/.ssh, ~/.aws, /etc).

Step 4: Persistence Check

Check for signs of previous compromise:

  • ~/.bashrc, ~/.zshrc, ~/.profile — no unknown additions
  • ~/.ssh/authorized_keys — no unknown keys
  • crontab -l — no unknown entries
  • .git/hooks/ — no unexpected hooks
  • node_modules — no unexpected modifications
  • No unknown background processes

Output Format

SETUP AUDIT REPORT
==================
Workspace: <path>
Host agent: <tool>

VERDICT: READY / RISKY / NOT_READY

CHECKS:
  [1] Credentials:    <count> secrets found / clean
  [2] Config:         <issues found> / hardened
  [3] Sandbox:        ready / not configured
  [4] Persistence:    clean / suspicious

FINDINGS:
  [CRITICAL] .env:3 — OpenAI API Key exposed
    Action: Move to secret manager, add .env to .gitignore
  [HIGH] mDNS broadcasting enabled
    Action: Set gateway.mdns.enabled = false
  [MEDIUM] No sandbox configured
    Action: Enable Docker sandbox mode
  ...

FIX CHECKLIST (do these, re-run until READY):
  [ ] Add .env to .gitignore
  [ ] Rotate exposed API key sk-proj-...████
  [ ] Create AGENTS.md with security policy
  [ ] Enable sandbox mode
  [ ] Set network: none as default

GENERATED FILES (review before applying):
  .openclaw/sandbox/Dockerfile
  .openclaw/sandbox/docker-compose.yml
  AGENTS.md (template)

Rules

  1. Always ask the wizard questions — don't assume
  2. Never display full secret values
  3. Check .gitignore and warn if sensitive files are NOT ignored
  4. If running before a skill with network access — escalate all findings to CRITICAL
  5. Generated files go to .openclaw/sandbox/ — never overwrite existing project files
  6. Require user confirmation before writing any file
  7. Credential rotation is always recommended for any exposed secret, even if local-only

Frequently asked questions

What does the Setup Auditor AI skill do?

Audit your OpenClaw environment for credential leaks, unsafe defaults, and missing sandbox configuration. Wizard-style: answers questions about your setup and produces a fix checklist.

Why use Setup Auditor on TypingMind?

Because you install it once and use it with any model. Setup Auditor 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 Setup Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/UseAI-pro/openclaw-skills-security/tree/main/skills/setup-auditor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setup Auditor?

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 Setup Auditor?

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

Is the Setup Auditor AI skill free?

Yes. It is published on GitHub by UseAI-pro 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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