rolecraft
Reduces security blind spots when deploying AI agents at scale by enforcing automated scanning on every skill installation, mitigating supply-chain and privi…
The security-first skill manager for AI agents — every install runs a security scan. Manage skills & MCP servers across 87 agents. Zero-dependency CLI.
- Scan newly installed AI agent skills for security vulnerabilities before deployment
- Manage skill permissions across multiple AI agents from a single command line
- Audit MCP server configurations to ensure compliance with security policies
Reduces security blind spots when deploying AI agents at scale by enforcing automated scanning on every skill installation, mitigating supply-chain and privilege-escalation risks across distributed agent architectures.
Platform engineers managing multi-agent AI systems requiring centralized skill governance and compliance audit trails.
https://github.com/rolecraft-sh/rolecraft
By rolecraft-sh
How to Get It
claude plugins install rolecraft-sh/rolecraft
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 newly installed AI agent skills for security vulnerabilities before deployment
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 83 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
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.
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): 83 GitHub stars; contributors unknown; last commit 0d ago; license MIT.