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Agent skill

Tooluniverse Statistical Modeling

by wu-yc in wu-yc/LabClaw

Perform statistical modeling and regression analysis on biomedical datasets.

No licenceAuto-check passedData & Analytics

Install Tooluniverse Statistical Modeling

skills CLI
$ npx skills add wu-yc/LabClaw --skill tooluniverse-statistical-modeling -a claude-code

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

GitHub CLI
$ gh skill install wu-yc/LabClaw tooluniverse-statistical-modeling --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/general/tooluniverse-statistical-modeling .claude/skills/tooluniverse-statistical-modeling && 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-statistical-modeling
GitHub stars
1.1k
Used in
2 other repos
Token cost
~4.9k tokens
SKILL.md length
1,069 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
None found

At a glance

Perform statistical modeling and regression analysis on biomedical datasets.

  • Works in 4 steps: Data Validation → Model Fitting → Model Diagnostics → …
  • Asked to fit regression models
  • SKILL.md covers Features, Quick Start, Model Selection Decision Tree and When to Use, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooluniverse Statistical Modeling is an agent skill from wu-yc/LabClaw. Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute…

Its SKILL.md is about 4.9k 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 Data & Analytics, covering Statistics. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

  • Asked to fit regression models
  • Compute odds ratios
  • Perform survival analysis
  • Run statistical tests

Example prompts

  • “/tooluniverse-statistical-modeling”

Requirements

  • Python 3

Workflow steps

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

  1. Data Validation
  2. Model Fitting
  3. Model Diagnostics
  4. Interpretation

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 (its code samples are python).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • statsmodels.org
    • lifelines.readthedocs.io
    • scikit-learn.org

    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 Statistical Modeling loads about 4.9k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 1,069 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

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 1,069 words (~4,911 tokens).

“Comprehensive statistical modeling skill for fitting regression models, survival models, and mixed-effects models to biomedical data. Produces publication-quality statistical summaries with odds ratios, hazard ratios, confidence intervals, and p-values.”

— opening of SKILL.md by wu-yc
name
tooluniverse-statistical-modeling

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/general/tooluniverse-statistical-modeling 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 Statistical Modeling 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 Statistical Modeling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooluniverse Statistical Modeling this skillwu-yc/LabClaw1.1k2 repos~4.9kAutomated safety check: PassNone
Sandbox Benchvercel/next.js143k—~4.1kAutomated safety check: PassMIT
Statistical Analysisspacering-net/codeg3.9k3 repos~5kAutomated safety check: PassMIT
StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
AI Daily DigestvigorX777/ai-daily-digest1.6k—~1.3kAutomated safety check: PassNone
Statistical Powerspacering-net/codeg3.9k1 repos~3.6kAutomated safety check: NotesMIT

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All 68 skills in this repo

  • Tooluniverse Chemical Compound Retrieval

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  • Tooluniverse Clinical Guidelines

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  • Tooluniverse Disease Research

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  • Tooluniverse Drug Repurposing

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    Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies.

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  • Tooluniverse Gene Enrichment

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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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Categories

Questions about Tooluniverse Statistical Modeling

What does Tooluniverse Statistical Modeling do?

Perform statistical modeling and regression analysis on biomedical datasets. Tooluniverse Statistical Modeling is an agent skill from wu-yc/LabClaw. Perform statistical modeling and regression analysis on biomedical datasets.

When should I use Tooluniverse Statistical Modeling?

Tooluniverse Statistical Modeling fits situations like: asked to fit regression models; compute odds ratios; perform survival analysis; run statistical tests.

How do I install Tooluniverse Statistical Modeling in Claude Code?

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

How do I install Tooluniverse Statistical Modeling in Codex?

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

Can I use Tooluniverse Statistical Modeling 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-statistical-modeling -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-statistical-modeling, .gemini/skills/tooluniverse-statistical-modeling, .github/skills/tooluniverse-statistical-modeling and .opencode/skills/tooluniverse-statistical-modeling in your project.

What does Tooluniverse Statistical Modeling need to run?

SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Statistical Modeling is instructions for the agent only. Our summary lists: Python 3.

Does Tooluniverse Statistical Modeling access the network?

SKILL.md names 3 domains. As links in the text: statsmodels.org, lifelines.readthedocs.io and scikit-learn.org. This is read from the text; nothing was executed.

Is Tooluniverse Statistical Modeling 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 Statistical Modeling use?

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

How many tokens does Tooluniverse Statistical Modeling use?

About 4.9k tokens (SKILL.md is roughly 20k 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 Statistical Modeling?

Skills that share tags, products or a category with Tooluniverse Statistical Modeling: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Statistical Modeling?

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.