SkillScan

SkillScan
skillscan.devSkillScan provides a security scanner for AI agent skills and tools, helping developers verify and build trust in their AI components.

SkillScan
skillscan.devSkillScan provides a security scanner for AI agent skills and tools, helping developers verify and build trust in their AI components.
SkillScan provides a security scanner for AI agent skills and tools, helping developers verify and build trust in their AI components.
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SkillScan offers an AI-powered security scanner designed to verify the safety of AI agent skills and tools. Developers can submit their GitHub repositories or code for components like MCP servers, LangChain tools, and OpenAI plugins. The platform conducts a comprehensive analysis, checking for critical attack vectors such as prompt injection, data exfiltration, and unsafe code execution. Upon successful verification, skills receive a badge and are listed in a public registry, helping to build trust and transparency within the AI agent ecosystem.
The primary target customers are developers and teams building or integrating AI agent skills, including those using LangChain tools or OpenAI plugins. Enterprises looking to verify the security of AI components before deployment also appear to be a key audience.
SkillScan addresses a critical and emerging need for trust and security in the rapidly expanding AI agent ecosystem. By offering independent verification and a public registry, it aims to become a foundational layer for secure AI skill adoption. Its focus on specific attack vectors for AI agents positions it well to capture early market share as agent usage scales.
AI-assisted scores estimated from public website information only.
This estimate reflects SkillScan's strong product clarity and its focus on a critical, emerging pain point in the rapidly expanding AI agent ecosystem. The polished execution and clear value proposition for security verification suggest significant future potential, especially for enterprise adoption. The valuation is not higher due to the current 'completely free' model and the absence of explicit public traction or a defined monetisation strategy.
Valuation date: 2026-06-09. Estimate generated from public signals.
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