onekgpd agent skill by K-Dense-AI

At a glance

Before you install

Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.

• Bundled scripts: 2 script files (2 Python). Your agent may run them, so read them first.
• Network: its scripts use an HTTP client or a cloud SDK.
• Tool permissions requested: Write Bash (the allowed-tools field of SKILL.md).
• License: MIT, an open-source or open-content license.

Install onekgpd

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/onekgpd

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/onekgpd .claude/skills/
rm -rf "$tmp"

python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
    --repo K-Dense-AI/claude-scientific-skills \
    --path skills/onekgpd

K-Dense-AI/claude-scientific-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

How the author describes it

Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals are homozygous-reference at a position, which variants exist in the dataset or carried by specified individuals in a gene or region, the relatedness between two specified individuals. Variants are returned with 1000 Genomes allele frequencies (AF), gnomAD v4.1 exome and genome AF, AlphaMissense score, and HGVSp annotations.

From the description field of SKILL.md. Agents read this line to decide when to load the skill.

Compatibility, from SKILL.md

Sections in SKILL.md

• Scope
• When to Use
• Prerequisites
• Core Rules
• Coordinate Provenance (MANDATORY FIRST STEP)
• Command Selection Guide
• Cohort interpretation
• Annotation filters (shared across variant and sample selection/counting)
• Quick Start
• Commands
• Variant-returning commands
• Sample-returning commands
• Homozygous-reference commands
• Relatedness command
• Dataset metadata command
• Sample & population metadata (offline)

Files in the skill folder

• SKILL.md
• assets/kgpe.json
• references/annotation_vocabularies.md
• references/onekgpd_commands.md
• scripts/onekgpd_api.py
• scripts/onekgpd_meta.py

Suede Skill Check: 87/100 · B

onekgpd passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.

Where this skill is cited

K-Dense-AI/claude-scientific-skills appears in 2 curated lists: BehiSecc/awesome-claude-skills, travisvn/awesome-claude-skills.

More science and research skills

All science and research skills

More from K-Dense-AI/claude-scientific-skills

All 177 skills in K-Dense-AI/claude-scientific-skills