Agent skill

Tooluniverse Structural Variant Analysis

by wu-yc in wu-yc/LabClaw

Comprehensive structural variant (SV) analysis skill for clinical genomics.

No licenceAuto-check passedResearch & Science

Install Tooluniverse Structural Variant Analysis

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

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

GitHub CLI
$ gh skill install wu-yc/LabClaw tooluniverse-structural-variant-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/bio/tooluniverse-structural-variant-analysis .claude/skills/tooluniverse-structural-variant-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-structural-variant-analysis
GitHub stars
1.1k
Used in
2 other repos
Token cost
~12k tokens
SKILL.md length
1,737 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
None found

At a glance

Comprehensive structural variant (SV) analysis skill for clinical genomics.

  • Works in 7 steps: SV Identity & Classification → Gene Content Analysis → Dosage Sensitivity Assessment → …
  • Large deletions/duplications
  • SKILL.md covers Problem This Skill Solves, Triggers, Workflow Overview and Phase Details, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooluniverse Structural Variant Analysis is an agent skill from wu-yc/LabClaw. Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.

Its SKILL.md is about 12k 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, covering Bioinformatics. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

  • Large deletions/duplications
  • Chromosomal rearrangements
  • Any structural variants requiring clinical interpretation

Example prompts

  • “/tooluniverse-structural-variant-analysis”

Requirements

  • Python 3

Workflow steps

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

  1. SV Identity & Classification
  2. Gene Content Analysis
  3. Dosage Sensitivity Assessment
  4. Population Frequency Context
  5. Pathogenicity Scoring
  6. Literature & Clinical Evidence
  7. ACMG-Adapted Classification

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 markdown and 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):

    • ncbi.nlm.nih.gov

    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 Structural Variant Analysis loads about 12k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 1,737 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~12k

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 1,737 words (~12,280 tokens).

“Systematic analysis of structural variants (deletions, duplications, inversions, translocations, complex rearrangements) for clinical genomics interpretation using ACMG-adapted criteria.”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/bio/tooluniverse-structural-variant-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 Structural Variant 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 Structural Variant Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooluniverse Structural Variant Analysis this skillwu-yc/LabClaw1.1k2 repos~12kAutomated safety check: PassNone
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Clinvar Databasegoogle-deepmind/science-skills3.2k2 repos~3.9kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k2 repos~3.4kAutomated safety check: NotesApache-2.0

Similar skills

  • Alphagenome Single Variant Analysis

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    Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.

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  • 13C Metabolic Flux Analysis

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    Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.

    48k GitHub starsUsed in 1 repo~3.2k tokens
    Research & ScienceAuto-check passed
  • Clinvar Database

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    A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…

    3.2k GitHub starsUsed in 2 repos~3.9k tokens
    Research & ScienceAuto-check: notes
  • Metabolic Study Planner

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    Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.

    15k GitHub stars~1.9k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Dbsnp Database

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    A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.

    3.2k GitHub starsUsed in 2 repos~3.4k tokens
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  • MFA Pipeline Orchestrator

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    Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.

    15k GitHub stars~923 tokensUpdated 1 mo ago
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Questions about Tooluniverse Structural Variant Analysis

What does Tooluniverse Structural Variant Analysis do?

Comprehensive structural variant (SV) analysis skill for clinical genomics. Tooluniverse Structural Variant Analysis is an agent skill from wu-yc/LabClaw. Comprehensive structural variant (SV) analysis skill for clinical genomics.

When should I use Tooluniverse Structural Variant Analysis?

Tooluniverse Structural Variant Analysis fits situations like: large deletions/duplications; chromosomal rearrangements; any structural variants requiring clinical interpretation.

How do I install Tooluniverse Structural Variant Analysis in Claude Code?

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

How do I install Tooluniverse Structural Variant Analysis in Codex?

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

Can I use Tooluniverse Structural Variant 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-structural-variant-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-structural-variant-analysis, .gemini/skills/tooluniverse-structural-variant-analysis, .github/skills/tooluniverse-structural-variant-analysis and .opencode/skills/tooluniverse-structural-variant-analysis in your project.

What does Tooluniverse Structural Variant Analysis need to run?

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

Does Tooluniverse Structural Variant Analysis access the network?

SKILL.md names 1 domain. As links in the text: ncbi.nlm.nih.gov. This is read from the text; nothing was executed.

Is Tooluniverse Structural Variant 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 Structural Variant Analysis use?

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

How many tokens does Tooluniverse Structural Variant Analysis use?

About 12k tokens (SKILL.md is roughly 49k 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 Structural Variant Analysis?

Skills that share tags, products or a category with Tooluniverse Structural Variant Analysis: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Structural Variant 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.