Agent skill

Tooluniverse Systems Biology

by wu-yc in wu-yc/LabClaw

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels).

No licenceAuto-check passedResearch & Science

Install Tooluniverse Systems Biology

skills CLI
$ npx skills add wu-yc/LabClaw --skill tooluniverse-systems-biology -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wu-yc/LabClaw tooluniverse-systems-biology --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bio/tooluniverse-systems-biology .claude/skills/tooluniverse-systems-biology && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tooluniverse-systems-biology
GitHub stars
1.1k
Used in
2 other repos
Token cost
~3.3k tokens
SKILL.md length
1,315 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
None found

At a glance

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels).

  • Works in 4 steps: Pathway Enrichment Analysis → Protein-Pathway Mapping → Keyword-Based Pathway Search → …
  • Analyzing gene sets
  • SKILL.md covers When to Use This Skill, Core Databases Integrated, Workflow Overview and Phase 1: Pathway Enrichment…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooluniverse Systems Biology is an agent skill from wu-yc/LabClaw. Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

  • Analyzing gene sets
  • Exploring biological pathways
  • Investigating systems-level biology

Example prompts

  • “/tooluniverse-systems-biology”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Pathway Enrichment Analysis
  2. Protein-Pathway Mapping
  3. Keyword-Based Pathway Search
  4. Top-Level Pathway Catalog

What it can do on your machine

Read from SKILL.md and the folder at commit df37802. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tooluniverse Systems Biology loads about 3.3k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 1,315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,315 words (~3,281 tokens).

“Comprehensive pathway and systems biology analysis integrating multiple curated databases to provide multi-dimensional view of biological systems, pathway enrichment, and protein-pathway relationships.”

— opening of SKILL.md by wu-yc
name
tooluniverse-systems-biology

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/bio/tooluniverse-systems-biology of wu-yc/LabClaw.

Open the folder on GitHubat commit df37802

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wu-yc/LabClaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tooluniverse Systems Biology next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tooluniverse Systems Biology compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooluniverse Systems Biology this skillwu-yc/LabClaw1.1k2 repos~3.3kAutomated safety check: PassNone
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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  • Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports.

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  • Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools.

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Questions about Tooluniverse Systems Biology

What does Tooluniverse Systems Biology do?

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Tooluniverse Systems Biology is an agent skill from wu-yc/LabClaw. Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels).

When should I use Tooluniverse Systems Biology?

Tooluniverse Systems Biology fits situations like: analyzing gene sets; exploring biological pathways; investigating systems-level biology.

How do I install Tooluniverse Systems Biology in Claude Code?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-systems-biology -a claude-code`. Or copy the skill folder (skills/bio/tooluniverse-systems-biology in wu-yc/LabClaw) into .claude/skills/tooluniverse-systems-biology in your project. Claude Code loads it when a task matches its description.

How do I install Tooluniverse Systems Biology in Codex?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-systems-biology -a codex`. Or copy the skill folder (skills/bio/tooluniverse-systems-biology in wu-yc/LabClaw) into .agents/skills/tooluniverse-systems-biology in your project. Codex loads it when a task matches its description.

Can I use Tooluniverse Systems Biology in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wu-yc/LabClaw --skill tooluniverse-systems-biology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse-systems-biology, .gemini/skills/tooluniverse-systems-biology, .github/skills/tooluniverse-systems-biology and .opencode/skills/tooluniverse-systems-biology in your project.

What does Tooluniverse Systems Biology need to run?

SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Systems Biology is instructions for the agent only.

Does Tooluniverse Systems Biology access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tooluniverse Systems Biology safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tooluniverse Systems Biology use?

No licence was found for Tooluniverse Systems Biology or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Tooluniverse Systems Biology use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tooluniverse Systems Biology?

Skills that share tags, products or a category with Tooluniverse Systems Biology: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Systems Biology?

wu-yc (a GitHub user) maintains it in wu-yc/LabClaw, which has 1,055 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on March 19, 2026.

Source: wu-yc/LabClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.