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rolecraft

Skill Security Usable
Works inClaude Code
Usable Scanned — metadata only

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.

96 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

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.

Claude Code Claude Cowork Claude Chat

https://github.com/rolecraft-sh/rolecraft

By rolecraft-sh

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
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.

First thing to try

After installing, paste this into Claude:

Help me scan newly installed AI agent skills for security vulnerabilities before deployment
CostFree

Trust Signals Auto-scanned

Stars96Contributors38Last updated2026-10-30LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-30 · scanner v1

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

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 83 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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