SkillSecurity is a free static security scanner for AI Skills. It helps developers, security reviewers, and AI tool users inspect a SKILL.md file before installation, without executing any scanned content. Users can paste text, upload a local Skill file, upload a zip workspace, or provide a direct public GitHub SKILL.md URL, then receive a clear report about possible prompt injection, credential harvesting, data exfiltration, dangerous commands, unsafe file access, suspicious networking, and other risky patterns. Reports include severity labels, readable findings, and practical remediation guidance so teams can review third-party AI Skills before trusting them in their workflow.
Static AI Skill scanning
Checks SKILL.md files and Skill workspaces for risky patterns before installation.
Prompt injection risk detection
Flags instructions and patterns that may manipulate AI agent behavior.
Clear security reports
Shows severity labels and practical remediation guidance without running scanned content.
SkillSecurity is focused specifically on AI Skill safety before installation. Instead of being a general malware scanner or a broad code security platform, it reviews SKILL.md content and Skill workspaces for risks that matter in AI agent environments.
Key differences:
Choose SkillSecurity when you want a lightweight, focused review step before installing or trusting an AI Skill.
It is useful because:
General security scanners are valuable, but SkillSecurity is built around the specific trust problem of reviewing third-party AI Skills before installation.
SkillSecurity is primarily for developers, AI Skill users, and security reviewers who want to check third-party AI Skills before installing them. It is also useful for teams adding a lightweight static review step to their AI agent or developer-tool workflow.
SkillSecurity started from a simple need: review third-party AI Skills before installing them. It statically checks SKILL.md files and Skill workspaces for risky patterns like prompt injection, credential harvesting, data exfiltration, and dangerous commands, then turns the result into a clear report developers can act on.
SkillSecurity is built as a modern web-based static analysis service for AI Skill security. It is designed to provide fast, clear reports without running scanned content, so users can review third-party Skills before installing or trusting them.
We have collected here some useful links to help you find out if SkillSecurity is good.
Check the traffic stats of SkillSecurity on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of SkillSecurity on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of SkillSecurity's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of SkillSecurity on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about SkillSecurity on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is SkillSecurity good? This is an informative page that will help you find out. Moreover, you can review and discuss SkillSecurity here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.