Scan your skills for malware. Monitor your instance 24/7. Harden your config in one click. The security layer OpenClaw doesn't have — yet.
Your email. Your files. Your API keys. Your shell. OpenClaw is incredible — but without security, you're running the most powerful attack surface ever put on a consumer machine.
ClawHub has no vetting process. The #1 ranked skill was literal malware — silently exfiltrating your data while you slept. 341 malicious packages found in a single week.
A single crafted message in a WhatsApp group, a Discord DM, or a forwarded email can hijack your agent. It'll dump your SSH keys and you won't even see it happen.
API keys, session tokens, OAuth credentials — stored in Markdown files and .env files in the agent's reachable filesystem. 1,800+ instances actively leaking credentials on the open internet.
OpenClaw stores web scrapes, messages, and skill outputs in the same memory — without trust levels. An attacker who poisons your agent's memory controls its behavior for weeks.
Moltbook — the AI social network — has 37,000 agents processing untrusted content from other agents. Prompt injection payloads spread virally between instances.
By default, OpenClaw executes tool calls without explicit user approval. Shell commands, file writes, network requests — the LLM decides, and the LLM can be deceived.
"From a capability perspective, OpenClaw is groundbreaking. From a security perspective, it's an absolute nightmare."
"If you can't understand how to run a command line, this is far too dangerous of a project for you to use safely."
"AI agents get credentials to your entire digital life. Unlike browser extensions in a sandbox, these agents operate with full privileges."
Clawcop works alongside your OpenClaw instance — not against it. Keep using everything you love. Remove everything that can hurt you.
One command scans every installed skill for malware, data exfiltration, and prompt injection. Checks your config for exposed ports, plaintext credentials, and dangerous permissions. Takes under 60 seconds.
$ npx clawcop scan
Every finding comes with a severity rating, an explanation a human can understand, and a one-click fix. Remove the malicious skill. Rotate the exposed key. Enable sandbox mode. Done.
$ npx clawcop fix --all
Upgrade to Shield and Clawcop watches your instance continuously. New skill installs get scanned automatically. Config drift triggers alerts. New CVEs get flagged before they're exploited. You sleep.
→ clawcop.dev/dashboard
Multi-layer analysis of every ClawHub skill: static code analysis, behavioral dataflow tracing, LLM semantic analysis for covert prompt injection, and VirusTotal cross-reference. Goes beyond one-time scanning with hardening + monitoring.
FreeAudits your OpenClaw config against 40+ security checks: sandbox mode, DM policies, tool permissions, credential storage, port exposure, exec approvals, and network isolation. One-click remediation for every finding.
FreeReal-time surveillance of your running instance. Alerts on new skill installs, configuration changes, unexpected network calls, credential access, and anomalous agent behavior. Delivered via the same channels you use with OpenClaw.
ShieldWeekly ClawHub security bulletins. Real-time alerts when new malicious skills are detected. CVE tracking for OpenClaw core. Curated, prioritized, actionable — not a firehose of noise.
ShieldAnalyzes inbound messages across all connected channels for adversarial patterns before they reach your agent. Blocks injection attempts from emails, DMs, web content, and Moltbook interactions.
ShieldMulti-instance dashboard for teams and enterprises. Enforce skill allowlists across all instances. Centralized policy management. Audit logging. SSO/SAML. Compliance reporting.
EnterpriseYou're spending $30-70/month on LLM APIs to power your OpenClaw. Spend a fraction of that to make sure it isn't robbing you blind.
Running 10+ instances or need SSO, compliance, and audit logs?
Talk to us about Enterprise →
Cisco's scanner is a great one-time check (we build on their open-source work and credit them). Clawcop adds continuous monitoring, automatic remediation, config hardening, prompt injection detection, and threat intelligence. Cisco's scanner tells you there's a problem. Clawcop fixes it and makes sure it doesn't happen again.
No. The scanner runs as a one-time audit (takes ~60 seconds). Continuous monitoring runs as a lightweight sidecar process — it watches logs and config files, it doesn't intercept your agent's execution. Typical overhead: <2% CPU, <50MB RAM.
Clawcop is open-source at its core — inspect every line of code on GitHub. The scanner runs entirely locally. The monitoring dashboard receives security events only (not your messages, files, or data). We process zero PII. We're also working on SOC 2 Type II certification.
Shadow — an OpenClaw core maintainer — said the project is "far too dangerous" for non-technical users. Kaspersky found 512 vulnerabilities in a single audit. Even if you're technical, are you auditing every skill's source code? Checking ClawHub for new malicious packages daily? Monitoring your instance's network calls 24/7? That's what we do.
We hope they do — and we help them (we contribute upstream). But even with perfect defaults, you still need: independent scanning of third-party skills, continuous monitoring for config drift, threat intelligence for new attack patterns, and audit evidence. WordPress is much more secure than it was in 2010. Wordfence still has 5 million active installs.
Today, yes. Our scanner and monitoring are purpose-built for OpenClaw's architecture. But the attack surface — autonomous agents with system access and community plugins — is identical across Copilot, Gemini agents, and every MCP-based system. We're starting where the need is most acute and expanding from there.
Traditional antivirus catches known malware signatures. OpenClaw's threats are different: prompt injection hidden in natural language, behavioral data exfiltration that looks like normal API calls, and memory poisoning that corrupts the agent over time. We use multi-layer analysis — static, behavioral, LLM semantic, and runtime sandboxing — designed specifically for AI agent threats.
14-day free trial on all paid plans. No credit card required to start. If you're not happy after that, email us and we'll refund the current month, no questions asked. We'd rather have happy users than locked-in users.
Free scan takes 60 seconds. No signup required. See exactly what's exposed — then decide.