wisp-science

Name: wisp-science
Author: xuzhougeng

Verified

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.

1,005stars

105forks

HTML

Installation

# Add to your Claude Code skills
git clone https://github.com/xuzhougeng/wisp-science

Getting Started

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Security ReportVerified

Last scanned: 7/17/2026

{
  "issues": [
    {
      "file": "skills/agent-infini/SKILL.md",
      "line": 33,
      "type": "remote-install",
      "message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://infinisynapse.cn/cli-install/install.sh | bash\"",
      "severity": "medium"
    },
    {
      "file": "skills/customize/SKILL.md",
      "line": 93,
      "type": "prompt-injection",
      "message": "Possible concealment directive: \"Do NOT tell the user\"",
      "severity": "medium"
    }
  ],
  "status": "PASSED",
  "scannedAt": "2026-07-17T06:14:37.740Z",
  "npmAuditRan": true,
  "pipAuditRan": true,
  "promptInjectionRan": true
}

README.md

Frequently Asked Questions

What is wisp-science?

wisp-science is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by xuzhougeng. 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. It has 1,005 GitHub stars.

Is wisp-science safe to use?

Yes. wisp-science passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install wisp-science?

Clone the repository with "git clone https://github.com/xuzhougeng/wisp-science" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is wisp-science written in?

wisp-science is primarily written in HTML. It is open-source under xuzhougeng on GitHub, so you can review or fork the full source.

Are there alternatives to wisp-science?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh wisp-science against similar tools.

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The open-source, local-first AI research workbench.

WISP — Workspace for Intelligent Scientific Practice

English · 简体中文 · Website · Releases

Search the literature, run Python and R, query ~80 scientific databases, and keep the trail — figures, runs, decisions, and drafts — in one project. Your data, conversations, and credentials stay on your machines.

Bring your own model. Keep your science.

What you can do

An agent that does the work

Bring OpenAI-compatible or Anthropic models, or drive Codex / Claude Code over ACP. The agent reads and writes project files, runs shell, and loads reusable Skills (SKILL.md) without flooding the prompt. Approval gates stay on unless you opt into Full Permission.

Compute from laptop to remote servers

Persistent Python and R kernels keep variables across cells, conversations, and restarts. Register local, WSL, and SSH hosts once; probe hardware; submit long Runs with live logs. Keys live in the OS keyring, never in SQLite.

Built for science

PubMed, GEO, and ~80 other databases through bundled MCP servers. Offline previews for notebooks, PDFs, Office files, and images. Isolated explorations to try a direction without touching the mainline. A Publication Workspace that freezes manuscript revisions into verifiable Evidence Capsules.

A workbench that remembers

Restart and the full history is back. Undo a turn's file edits. Attach artifacts, files, and runtimes with @; search saved sessions with #; apply a skill with /. Encrypted manual sync and project transfer — nothing syncs in the background.

Get started

Download from GitHub Releases.
Open a bundled demo — no API key needed — to see a full RNA-seq trajectory.
Add a model in Settings → Models and start a project.

Platform	Package
Windows	Signed MSI / NSIS
macOS	Signed, notarized `.dmg` (Apple Silicon + Intel)
Linux	`.deb` / AppImage (x86_64 + aarch64)

Setup walkthrough: basic configuration · model profiles · ACP agents

Build from source, CLI, and architecture: development.

Documentation


Start	Basic setup · Models · ACP agents
Research	Explorations · Evidence capsules · Case studies
Projects	Transfer · Sync · Global library
Compute	Terminals · Remote files · Transfers
Extend	Skills · Plugins · Delegation · Channels · Browser
Develop	Development · Headless eval

Community

Thanks to everyone who filed issues, sent PRs, and used Wisp on real projects.