# SkillShield

> Review AI skill repositories with layered security analysis

SkillShield scans public AI skill repositories and presents security findings in a searchable directory. Users submit a GitHub or GitLab repository containing a skill definition or MCP configuration. The service combines deterministic rules, static analysis, dependency checks, and model-based behavioral review to produce a scored report.

The directory lets people browse recent scans, inspect reported issues, and compare skills before introducing them into an agent workflow. Maintainers can create an embeddable badge that links their repository to its assessment. SkillShield is useful for making potential risks more visible during selection and review, while the detailed findings provide context beyond a single score. Its analysis engine is documented in a public repository.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/skillshield
- Official website: https://skillshield.io/
- Category: Security & privacy / Application security testing
- Status: Launched
- Topics: AI, AI agents, Developer tools, Open source, Security
- Listing updated: 2026-10-30T16:53:36.934Z
- Information source: https://skillshield.io/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.