ClawSecure Launches Free OpenClaw Security Platform with 2,890 Audited Skills

ClawSecure has launched a free OpenClaw security platform, providing a comprehensive suite of tools including code scanning, 24/7 monitoring, an API for programmatic verification, and a public registry of over 2,890 audited skills. This release is particularly timely, coinciding with heightened industry focus on OpenClaw security, exemplified by Nvidia's NemoClaw and recent research demonstrating agent manipulation. The platform's initial audit uncovered 9,515 security findings across popular OpenClaw skills, with a significant 41% of skills containing at least one vulnerability. This initiative aims to establish a foundational integrity layer for the rapidly expanding agentic AI ecosystem.

The platform employs a proprietary 3-Layer Audit Protocol, which includes scanning for over 55 OpenClaw-specific threat patterns, such as the ClawHavoc malware campaign, alongside static and behavioral code analysis tracing execution paths. It also audits dependencies across npm and PyPI ecosystems against known CVE databases. The audit covered skills from both the `awesome-openclaw-skills` and official `openclaw/skills` repositories, revealing that 30.6% of scanned skills were rated HIGH or CRITICAL severity, and 18.7% exhibited ClawHavoc malware indicators. Furthermore, its Watchtower feature provides continuous monitoring, automatically re-auditing skills upon code changes and detecting 661 modifications to date, while the Security Clearance API offers programmatic security status queries.

This launch significantly impacts the OpenClaw ecosystem by providing a much-needed, unified security solution that addresses the growing complexity and attack surface of agentic AI. By combining scanning, monitoring, an API, and a public registry, ClawSecure aims to move beyond fragmented point solutions, offering a complete integrity layer for agent development and deployment. Its explicit alignment with the OWASP Agentic Security Initiative Top 10 and NIST AI Risk Management Framework provides a crucial standard for secure agent design and operation. This comprehensive approach can foster greater trust and accelerate the secure adoption of OpenClaw agents across various applications.

This signal is critical for OpenClaw developers, researchers, and operators. Developers gain a free, robust tool for vetting and securing the skills they integrate into their agents, directly mitigating risks like credential-stealing malware. Researchers can leverage the extensive public registry and detailed audit findings to