explain-openclaw — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by centminmod · Codex Skill · ★ 242

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is explain-openclaw safe to install? View the security audit →

About explain-openclaw

Explain OpenClaw (formerly Moltbot/Clawdbot) - Integrated Beginner + Technical Guide Table of contents What is OpenClaw? (plain English) Glossary CLI commands (plain English) What is Moltbook? Threat model Hardening checklist High privacy config example Detecting OpenClaw requests (for hosting services) Architecture (technical) Repo map Deployment: Standalone Mac mini Deployment: Isolated VPS Deployment: Cloudflare Moltworker Deployment: Docker Model Runner Commands + troubleshooting Optimizations: Overview Resource usage analysis (CPU, memory, disk) [Cost + token optimization](./06-optimizations/cost-tok

clawdbotclawdbot-securityclawhubmoltbolt-securitymoltbookmoltbook-securitymoltbotopenclawopenclaw-security

Quick Facts

Stars242
Forks34
CategoryCodex Skill
Quality Score61.8001597807516/100
Open Issues118
Last Updated2026-04-08
Created2026-02-01
Est. Tokens~627k

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Frequently Asked Questions

What is explain-openclaw?

explain-openclaw is Multi-AI documentation for OpenClaw: architecture, security audits, deployment guide. It is categorized as a Codex Skill with 242 GitHub stars.

How do I install or use explain-openclaw?

You can find installation instructions and usage details in the explain-openclaw GitHub repository at github.com/centminmod/explain-openclaw. The project has 242 stars and 34 forks, indicating an active community.

What are the best alternatives to explain-openclaw?

The top alternatives to explain-openclaw on Agent Skills Hub include secure-openclaw, clawsec, awesome-openclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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