Agent skill

Genome Compare

by aAAaqwq in aAAaqwq/AGI-Super-Team

Compare your genome to George Church (PGP-1) and estimate ancestry composition

MITAuto-check passedResearch & Science

Install Genome Compare

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill genome-compare -a claude-code

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

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team genome-compare --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/genome-compare .claude/skills/genome-compare && 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
genome-compare
GitHub stars
105
Used in
1 other repo
Token cost
~691 tokens
SKILL.md length
263 words
Files
5
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

Compare your genome to George Church (PGP-1) and estimate ancestry composition

  • Works in 3 steps: Identity By State (IBS): Compare a… → Ancestry Composition: Estimate… → Chromosome Breakdown: Show…
  • Tasks that involve Bioinformatics
  • SKILL.md covers What You Do, Reference Genome, Input Formats and Demo, plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Genome Compare is an agent skill from aAAaqwq/AGI-Super-Team. Compare your genome to George Church (PGP-1) and estimate ancestry composition

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `data/aims_panel.json`, `data/manuel_ancestry.json` and `genome_compare.py`).

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/genome-compare”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Identity By State (IBS): Compare a user's genome against George Church's public 23andMe data (PGP-1, hu43860C). Report how many SNPs…
  2. Ancestry Composition: Estimate continental ancestry proportions (African, European, East Asian, South Asian, Americas) from…
  3. Chromosome Breakdown: Show per-chromosome IBS scores and overlap counts.

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. 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

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • 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):

    • pgp.med.harvard.edu
    • doi.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

Genome Compare loads about 691 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 263 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~691

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

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 263 words, ~691 tokens.

Download SKILL.mdSave it as .claude/skills/genome-compare/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
genome-compare
description
Compare your genome to George Church (PGP-1) and estimate ancestry composition
version
0.1.0

Genome Comparator

You are the Genome Comparator, a specialised ClawBio skill for pairwise genome comparison and ancestry estimation.

What You Do

  1. Identity By State (IBS): Compare a user's genome against George Church's public 23andMe data (PGP-1, hu43860C). Report how many SNPs overlap, how many are identical, and what the overall IBS score means in the context of genetic relationships.

  2. Ancestry Composition: Estimate continental ancestry proportions (African, European, East Asian, South Asian, Americas) from ancestry-informative markers using an EM admixture algorithm.

  3. Chromosome Breakdown: Show per-chromosome IBS scores and overlap counts.

Reference Genome

George Church (hu43860C) — the first participant in the Personal Genome Project. Professor of Genetics at Harvard Medical School. His 23andMe data (569,226 SNPs, CC0 public domain) is bundled in data/george_church_23andme.txt.gz.

Input Formats

  • 23andMe raw data (.txt or .txt.gz)
  • Tab-separated: rsid, chromosome, position, genotype

Demo

In demo mode, the input is Manuel Corpas — participant uk6D0CFA in PGP-UK. His 23andMe genotype data (Corpasome) is CC0 public domain (figshare). This produces an IBS score of ~0.74, consistent with two unrelated Europeans.

CLI

bash
# Demo: Manuel Corpas vs George Church
python genome_compare.py --demo --output results/

# Your own data
python genome_compare.py --input your_23andme.txt --output results/

Output

  • report.md — Full markdown report with summary, IBS analysis, ancestry, methods
  • figures/chromosome_ibs.png — Per-chromosome IBS bar chart
  • figures/ancestry_pie.png — Ancestry composition pie chart
  • figures/ibs_context.png — IBS score on relationship spectrum gauge
  • figures/ancestry_comparison.png — Side-by-side ancestry comparison

Safety

  • All processing is local. Your genetic data never leaves your machine.
  • ClawBio is a research and educational tool. It is not a medical device.
  • Ancestry estimation is approximate — for clinical-grade results, use ADMIXTURE or professional services.

Citations

  • Church GM. The Personal Genome Project. Mol Syst Biol. 2005;1:2005.0030.
  • Corpas M. Crowdsourcing the Corpasome. Source Code Biol Med. 2013;8:13.

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/genome-compare of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • data/aims_panel.json
  • data/manuel_ancestry.json
  • genome_compare.py
  • tests/test_genome_compare.py

Open the folder on GitHubat commit 331ecd3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Genome Compare 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.

Genome Compare compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Genome Compare this skillaAAaqwq/AGI-Super-Team1051 repos~691Automated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k3 repos~3.4kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT

Similar skills

  • Dbsnp Database

    google-deepmind/science-skills

    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 3 repos~3.4k tokens
    Research & ScienceAuto-check: notes
  • Metabolic Study Planner

    aiming-lab/AutoResearchClaw

    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
  • 13C Metabolic Flux Analysis

    K-Dense-AI/scientific-agent-skills

    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
  • Alphagenome Single Variant Analysis

    google-deepmind/science-skills

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

    3.2k GitHub starsUsed in 2 repos~3k tokens
    Research & ScienceAuto-check: notes
  • MFA Pipeline Orchestrator

    aiming-lab/AutoResearchClaw

    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
    Research & ScienceAuto-check passed
  • Singlecell Qc

    xuzhougeng/wisp-science

    A skill your agent uses when designing, reviewing, or implementing single-cell RNA-seq QC in Python or R with a human-in-the-loop, data-driven approach.

    1k GitHub stars~1.6k tokensUpdated today
    Research & ScienceAuto-check passed

More from aAAaqwq/AGI-Super-Team

All 152 skills in this repo
  • Content Creator

    aAAaqwq/AGI-Super-Team

    Create SEO-optimized marketing content with consistent brand voice.

    105 GitHub starsUsed in 3 repos~1.9k tokens
    Auto-check passed
  • Financial Calculator

    aAAaqwq/AGI-Super-Team

    Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.

    105 GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Frontend Design Ultimate

    aAAaqwq/AGI-Super-Team

    Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.

    105 GitHub starsUsed in 2 repos~2.7k tokens
    Auto-check passed
  • Sysadmin Toolbox

    aAAaqwq/AGI-Super-Team

    Tool discovery and shell one-liner reference for sysadmin, DevOps, and security tasks.

    105 GitHub starsUsed in 2 repos~775 tokens
    Auto-check passed
  • Zsxq Smart Publish

    aAAaqwq/AGI-Super-Team

    Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub stars~1.5k tokensUpdated 11 days ago
    Auto-check passed
  • Content Extract

    aAAaqwq/AGI-Super-Team

    Robust URL-to-Markdown extraction for OpenClaw workflows. An agent skill from aAAaqwq/AGI-Super-Team.

    105 GitHub starsUsed in 1 repo~650 tokens
    Auto-check passed

Questions about Genome Compare

What does Genome Compare do?

Compare your genome to George Church (PGP-1) and estimate ancestry composition. Genome Compare is an agent skill from aAAaqwq/AGI-Super-Team.

When should I use Genome Compare?

Genome Compare fits situations like: tasks that involve Bioinformatics.

How do I install Genome Compare in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill genome-compare -a claude-code`. Or copy the skill folder (skills/genome-compare in aAAaqwq/AGI-Super-Team) into .claude/skills/genome-compare in your project. Claude Code loads it when a task matches its description.

How do I install Genome Compare in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill genome-compare -a codex`. Or copy the skill folder (skills/genome-compare in aAAaqwq/AGI-Super-Team) into .agents/skills/genome-compare in your project. Codex loads it when a task matches its description.

Can I use Genome Compare 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 aAAaqwq/AGI-Super-Team --skill genome-compare -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/genome-compare, .gemini/skills/genome-compare, .github/skills/genome-compare and .opencode/skills/genome-compare in your project.

What does Genome Compare need to run?

Going by SKILL.md and its folder, Genome Compare needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Genome Compare access the network?

SKILL.md names 2 domains. As links in the text: pgp.med.harvard.edu and doi.org. This is read from the text; nothing was executed.

Is Genome Compare 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 Genome Compare use?

Genome Compare is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Genome Compare use?

About 691 tokens (SKILL.md is roughly 2.8k 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 Genome Compare?

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

Who maintains Genome Compare?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.