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luvus

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Centralized oversight of AI agent behavior reduces deployment risk and ensures compliance with operational constraints, critical when agents operate autonomo…

Mission control for your AI agents

984 starsApache-2.0 (commercial OK)FreeQuick setup

Centralized oversight of AI agent behavior reduces deployment risk and ensures compliance with operational constraints, critical when agents operate autonomously across production systems.

Engineering teams deploying autonomous AI agents who need real-time monitoring, control, and policy enforcement across multi-agent workflows.

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https://github.com/RizRiyz/luvus

By RizRiyz

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 RizRiyz/luvus

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 manage multiple AI agents across different projects from one dashboard
CostFree

Trust Signals Auto-scanned

Stars984Contributors32Last updated2026-10-21LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-26 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 954 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 954 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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