agent-skills-guard
Prevents unauthorized or misconfigured agent capabilities from exposing sensitive systems.
一款提供Agent Skills安全扫描和可视化管理的桌面应用 | A desktop application that provides security scanning and visual management for Agent Skills.
- Scan Claude agent skills for security vulnerabilities and compliance risks automatically
- Visualize which AI agent skills have access to sensitive systems or data
- Generate security audit reports of all deployed agent capabilities and permissions
Prevents unauthorized or misconfigured agent capabilities from exposing sensitive systems. Reduces security audit friction and enables teams to enforce skill guardrails before deployment.
Platform teams managing multi-agent systems who need centralized visibility and control over agent permissions and skill access.
https://github.com/bruc3van/agent-skills-guard
By bruc3van
How to Get It
claude plugins install bruc3van/agent-skills-guard
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me scan Claude agent skills for security vulnerabilities and compliance risks automatically
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 378 GitHub stars; 1 contributors; last commit 13d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 378 GitHub stars; 1 contributors; last commit 13d ago; license no license.