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guaardvark

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Consolidates multimodal AI capabilities (video, image, audio, code) on a single GPU without cloud dependencies, reducing latency, cost, and vendor lock-in wh…

The self-hosted AI studio: local video, image, music, voice, LoRA training, coding swarms, RAG and screen agents on one GPU, driven from the Studio or by your coding agent (Claude Code, Cursor, Codex, OpenClaw) through MCP and skills.

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

Consolidates multimodal AI capabilities (video, image, audio, code) on a single GPU without cloud dependencies, reducing latency, cost, and vendor lock-in while enabling local fine-tuning and agentic workflows.

Engineering teams running AI-powered development workflows who need on-premise multimodal processing with low operational overhead.

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https://github.com/guaardvark/guaardvark

By guaardvark

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 guaardvark/guaardvark

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 generate custom LoRA models for specialized coding tasks on my local GPU infrastructure
CostFree

Trust Signals Auto-scanned

Stars292Contributors19Last updated2026-10-28LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-28 · scanner v1

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 227 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 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 227 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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