Security for your OpenClaw agent skill before they run

Reddit r/openclaw Tools

Summary

SecureSkill is a tool that performs 10-layer security analysis on OpenClaw agent skills before execution, detecting threats like credential harvesting, outbound calls, and shell scripts. It produces a signed audit report mapped to OWASP, MITRE, NIST, and EU AI Act standards.

Every skill on ClawHub or any marketplace runs inside your agent with access to your filesystem, your credentials, and your network. There is no vetting process before it gets listed. There is no disclosure of what permissions it needs. There is no audit trail after it runs. You're trusting code you've never read. The attack surface is real and documented. A skill can read files anywhere on your machine. It can harvest API keys sitting in your environment. It can make outbound calls to external servers you never approved. It can execute shell scripts. It can iterate through your local data and exfiltrate it. And it does all of this autonomously, without asking permission, without logging what it touched. The most dangerous pattern is what we call the lethal trifecta. Credential access plus outbound network calls plus untrusted user input in the same execution context. Each behavior individually might be legitimate. Together they create a weaponizable pipeline. So I built SecureSkill. Before a skill runs inside your agent it goes through 10 analysis layers. Six deterministic layers strip unicode obfuscation, classify every permission claimed, cross reference infrastructure against known malicious hosts, pattern match code against documented attack signatures, detect hardcoded credentials, and track tainted data flow to surface exfiltration paths. Two correlation layers audit shell scripts and scan dependencies against public CVE databases. Two AI reasoning layers read intent and flag the lethal trifecta. The output isn't pass or fail. It's a permanent signed audit report with threat classification, confidence scoring, evidence with file paths and line numbers, and findings mapped to OWASP, MITRE, NIST, and the EU AI Act. Supports ClawHub, [skills.sh](http://skills.sh), and 7 other marketplaces plus any skill related GitHub link. Paste the link, get the report in under 45 seconds. Free scans [secureskill.ai](http://secureskill.ai) Would love feedback from anyone building in the OpenClaw ecosystem.
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A developer built a quarantine pipeline using two LLM reviewers (Claude and Codex) to detect injection attacks in OpenClaw skills, achieving 93.75% detection rate with zero false negatives. The system uses a dual mandate of checklist-based pattern matching and open analysis to catch both known and novel injection techniques.