wisp-science

Name: wisp-science Review
Item: wisp-science
Rating: 2.9
Author: Aaron Matthews

Skill Development Usable

Works inClaude Code

Usable Scanned — metadata only

Eliminates context switching between research notebooks, model APIs, and compute infrastructure.

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

Generate Python scripts for bioinformatics data analysis using local Claude integration
Execute R statistical analyses on genomic datasets through SSH or GPU-enabled runtimes
Automate scientific workflow pipelines combining multiple computational tools locally

927 starsAGPL-3.0 (check with legal)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Eliminates context switching between research notebooks, model APIs, and compute infrastructure. Teams avoid vendor lock-in while maintaining local data sovereignty for sensitive bioinformatics work.

Best for

Research teams and bioinformaticians requiring integrated Python/R environments with on-premise GPU compute and multiple LLM backends.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/xuzhougeng/wisp-science

By xuzhougeng

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 xuzhougeng/wisp-science

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 Python scripts for bioinformatics data analysis using local Claude integration

CostFree

Trust Signals Auto-scanned

Stars927Last updated2026-08-05LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-05 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 927 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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.
License (AGPL-3.0) may restrict commercial use. Check with your legal team.

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 Scores

Evaluation

Ease of Use

2/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score2.90 / 5.00 UsableEvaluatedAug 2026

Scored from trust signals (evidence-eval-v1): 927 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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