Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Security & Compliance
OpenClaw Security Auditor
Audit OpenClaw configuration for security risks and generate a remediation report using the user's configured LLM.
skill openclawclawhub Free
Audit OpenClaw configuration for security risks and generate a remediation report using the user's configured LLM.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, SKILL.md, CONTRIBUTING.md, README.md, docs/SECURITY-CHECKS.md, docs/USAGE.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Muhammad-Waleed381
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Security Audit Skill
Local-only skill that audits ~/.openclaw/openclaw.json, runs 15+ security checks, and generates a detailed report using the user's existing LLM configuration. No external APIs or keys required.
When to Use This Skill
The user asks for a security audit of their OpenClaw instance. The user wants a remediation checklist for configuration risks. The user is preparing an OpenClaw deployment and wants a hardening review.
How It Works
Read config with standard tools (cat, jq). Extract security-relevant settings (NEVER actual secrets). Build a structured findings object with metadata only. Pass findings to the user's LLM via OpenClaw's normal agent flow. Generate a markdown report with severity ratings and fixes.
Inputs
target_config_path (optional): Path to OpenClaw config file. default: ~/.openclaw/openclaw.json
Outputs
Markdown report including: Overall risk score (0-100) Findings categorized by severity (Critical/High/Medium/Low) Each finding with description, why it matters, how to fix, example config Prioritized remediation roadmap
Security Checks (15+)
API keys hardcoded in config (vs environment variables) Weak or missing gateway authentication tokens Unsafe gateway.bind settings (0.0.0.0 without proper auth) Missing channel access controls (allowFrom not set) Unsafe tool policies (elevated tools without restrictions) Sandbox disabled when it should be enabled Missing rate limits on channels Secrets potentially exposed in logs Outdated OpenClaw version Insecure WhatsApp configuration Insecure Telegram configuration Insecure Discord configuration Missing audit logging for privileged actions Overly permissive file system access scopes Unrestricted webhook endpoints Insecure default admin credentials
Data Handling Rules
Strip all secrets before analysis. Only report metadata such as present/missing/configured. Do not log or emit actual key values. Use local-only execution; no network calls.
Example Findings Object (Redacted)
{ "config_path": "~/.openclaw/openclaw.json", "openclaw_version": "present", "gateway": { "bind": "0.0.0.0", "auth_token": "missing" }, "channels": { "allowFrom": "missing", "rate_limits": "missing" }, "secrets": { "hardcoded": "detected" }, "tool_policies": { "elevated": "unrestricted" } }
Report Format
The report must include: Overall risk score (0-100) Severity buckets: Critical, High, Medium, Low Each finding: description, why it matters, how to fix, example config Prioritized remediation roadmap
Skill Flow (Pseudo)
read_config_path = input.target_config_path || ~/.openclaw/openclaw.json raw_config = cat(read_config_path) json = jq parse raw_config metadata = extract_security_metadata(json) findings = build_findings(metadata) report = openclaw.agent.analyze(findings, format=markdown) return report
Notes
Uses the user's existing OpenClaw LLM configuration (Opus, GPT, Gemini, and local models). No external APIs or special model access are required.
Category context
Identity, auth, scanning, governance, audit, and operational guardrails.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- CHANGELOG.md
- CONTRIBUTING.md
- docs/SECURITY-CHECKS.md
- docs/USAGE.md
- README.md