skill-safety-verifierSecurity-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
Install via ClawdBot CLI:
clawdbot install ttttstc/skill-safety-verifierGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://clawhub.comUses known external API (expected, informational)
api.github.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Integrate the Skill Safety Verifier into AI agent platforms like ClawdHub or custom deployments to automatically vet third-party skills before installation. This ensures all skills meet security standards, preventing malicious code execution and data breaches in enterprise environments.
Use the verifier in CI/CD pipelines to scan and assess AI agent skills during development and deployment phases. It helps catch security vulnerabilities early, reducing risks in production systems and ensuring compliance with security policies.
Implement the tool in educational settings where students or researchers develop AI agent skills. It provides real-time safety feedback, teaching best practices in secure coding and preventing accidental exposure to harmful scripts in learning environments.
Deploy the verifier as part of an enterprise AI governance framework to audit and monitor skill installations across teams. It helps enforce security protocols, track risk scores, and generate reports for compliance with data protection regulations.
Adopt the skill in open-source AI projects to vet contributions from community developers. This enhances trust in shared repositories by flagging suspicious patterns and reducing the risk of supply chain attacks in collaborative ecosystems.
Offer the Skill Safety Verifier as a cloud-based service with API access, charging monthly or annual fees based on scan volume and features. This model targets businesses needing scalable security vetting without infrastructure overhead.
Sell on-premise licenses to large organizations for integration into their private AI platforms. This includes customization, support, and updates, catering to industries with strict data sovereignty and security requirements.
Provide a free basic version for individual developers and small teams, with advanced features like detailed reports, priority support, and batch scanning available in paid tiers. This drives adoption and upsells to higher-value customers.
💬 Integration Tip
Integrate the verifier early in the skill installation workflow to provide immediate feedback, and use its asynchronous API calls to avoid blocking user interactions during security scans.
Scored Jun 19, 2026
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