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Agent skill

Tooluniverse Image Analysis

by wu-yc in wu-yc/LabClaw

Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived…

No licenceAuto-check passedData & Analytics

Install Tooluniverse Image Analysis

skills CLI
$ npx skills add wu-yc/LabClaw --skill tooluniverse-image-analysis -a claude-code

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

GitHub CLI
$ gh skill install wu-yc/LabClaw tooluniverse-image-analysis --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/med/tooluniverse-image-analysis .claude/skills/tooluniverse-image-analysis && 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-image-analysis
GitHub stars
1.1k
Used in
2 other repos
Token cost
~4k tokens
SKILL.md length
1,165 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
None found

At a glance

Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived…

  • Works in 4 steps: Question Parsing and Data Discovery → Grouped Statistics → Statistical Testing → …
  • Analyzing microscopy measurement data
  • SKILL.md covers When to Use This Skill, Core Principles, Required Python Packages and High-Level Workflow Decision…, plus 9 more sections
  • Calls python and pip

What it does

Tooluniverse Image Analysis is an agent skill from wu-yc/LabClaw. Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived measurements. Processes ImageJ/CellProfiler output (area, circularity, intensity, cell counts), performs Dunnett's test, Cohen's d effect size, power analysis, Shapiro-Wilk normality tests, two-way ANOVA, polynomial regression, natural spline regression with confidence intervals, and comparative morphometry. Supports CSV/TSV…

Its SKILL.md is about 4k 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 and CSV and tabular files. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

  • Analyzing microscopy measurement data
  • Colony area/circularity
  • Cell count statistics
  • Swarming assays

Example prompts

  • “s test, Cohen”
  • “/tooluniverse-image-analysis”

Requirements

  • Python 3

Workflow steps

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

  1. Question Parsing and Data Discovery
  2. Grouped Statistics
  3. Statistical Testing
  4. Regression Modeling

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

    Shell commands in SKILL.md call:

    • python
    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 Image Analysis loads about 4k tokens when it runs. Until then it costs about 215 tokens; SKILL.md has 1,165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~215
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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 1,165 words (~4,012 tokens).

“Production-ready skill for analyzing microscopy-derived measurement data using pandas, numpy, scipy, statsmodels, and scikit-image. Designed for BixBench imaging questions covering colony morphometry, cell counting, fluorescence quantification, regression modeling, and statistical comparisons.”

— opening of SKILL.md by wu-yc
name
tooluniverse-image-analysis

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/med/tooluniverse-image-analysis 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 Image Analysis 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 Image Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooluniverse Image Analysis this skillwu-yc/LabClaw1.1k2 repos~4kAutomated safety check: PassNone
Analysis Graphingclshortfuse/renodx4.5k—~1.1kAutomated safety check: PassMIT
Eqtl Catalogue Region FetchClawBio/ClawBio1.2k1 repos~4.7kAutomated safety check: PassMIT
CSV Data Analysis5zjk5/prompt-engineering127—~2.6kAutomated safety check: PassNone
Gwas Catalog Region FetchClawBio/ClawBio1.2k1 repos~3.5kAutomated safety check: PassMIT
Data Analysisfastclaw-ai/fastclaw1.4k—~410Automated safety check: PassCustom licence

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More from wu-yc/LabClaw

All 68 skills in this repo

  • Tooluniverse Chemical Compound Retrieval

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    Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment.

    1.1k GitHub starsUsed in 2 repos~2.3k tokens
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  • Tooluniverse Clinical Guidelines

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    Search and retrieve clinical practice guidelines across 12+ authoritative sources including NICE, WHO, ADA, AHA/ACC, NCCN, SIGN, CPIC, CMA, CTFPHC, GIN, MAGICapp, PubMed, EuropePMC, TRIP, and…

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  • Tooluniverse Disease Research

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    Generate comprehensive disease research reports using 100+ ToolUniverse tools.

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  • Tooluniverse Drug Repurposing

    wu-yc/LabClaw

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

    1.1k GitHub starsUsed in 2 repos~4.4k tokens
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  • Tooluniverse Expression Data Retrieval

    wu-yc/LabClaw

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

    1.1k GitHub starsUsed in 2 repos~2.6k tokens
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  • Tooluniverse Gene Enrichment

    wu-yc/LabClaw

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

    1.1k GitHub starsUsed in 2 repos~4k tokens
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Categories

Questions about Tooluniverse Image Analysis

What does Tooluniverse Image Analysis do?

Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived…. Tooluniverse Image Analysis is an agent skill from wu-yc/LabClaw. Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived measurements.

When should I use Tooluniverse Image Analysis?

Tooluniverse Image Analysis fits situations like: analyzing microscopy measurement data; colony area/circularity; cell count statistics; swarming assays.

How do I install Tooluniverse Image Analysis in Claude Code?

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

How do I install Tooluniverse Image Analysis in Codex?

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

Can I use Tooluniverse Image Analysis 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-image-analysis -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-image-analysis, .gemini/skills/tooluniverse-image-analysis, .github/skills/tooluniverse-image-analysis and .opencode/skills/tooluniverse-image-analysis in your project.

What does Tooluniverse Image Analysis need to run?

Going by SKILL.md and its folder, Tooluniverse Image Analysis needs the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Tooluniverse Image Analysis access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Tooluniverse Image Analysis 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 Image Analysis use?

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

How many tokens does Tooluniverse Image Analysis use?

About 4k tokens (SKILL.md is roughly 16k 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 Image Analysis?

Skills that share tags, products or a category with Tooluniverse Image Analysis: Analysis Graphing (clshortfuse/renodx, 4.5k stars), Eqtl Catalogue Region Fetch (ClawBio/ClawBio, 1.2k stars), CSV Data Analysis (5zjk5/prompt-engineering, 127 stars) and Gwas Catalog Region Fetch (ClawBio/ClawBio, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Image Analysis?

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.