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env-doctor

Skill Infrastructure Usable
Works inClaude Code
Usable Scanned — metadata only

Eliminates time spent diagnosing GPU/CUDA misconfigurations across development, containerized, and CI/CD environments—reducing deployment failures and accele…

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

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

Eliminates time spent diagnosing GPU/CUDA misconfigurations across development, containerized, and CI/CD environments—reducing deployment failures and accelerating ML/compute workload onboarding.

Infrastructure and ML engineering teams managing GPU-dependent applications across multiple deployment contexts.

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https://github.com/mitulgarg/env-doctor

By mitulgarg

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd 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 mitulgarg/env-doctor

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:

Diagnose GPU compatibility issues in my local CUDA environment quickly
CostFree

Trust Signals Auto-scanned

Stars171Contributors4Last updated2026-08-01LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 1 sources

Reviewer notes

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

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 171 GitHub stars; 4 contributors; last commit 17d 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
4/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedAug 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 171 GitHub stars; 4 contributors; last commit 17d ago; license MIT.

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