onekgpd

onekgpd is a skill for Claude Code from K-Dense-AI/scientific-agent-skills. It costs 143 tokens per session (4,825 once invoked), scanned A, original, MIT.

A query tool for the 1000 Genomes Project, a public collection of whole-genome sequencing data from thousands of people. It finds individuals or genetic variants matching conditions in a gene or genomic region.

In plain words
What is it for?
Use it to find carriers of specified variants, select variants carried by chosen participants, filter variant annotations, and check relatedness between named individuals.
Why use it?
It avoids manually searching participant-level genotype data and supports filters such as allele frequency, predicted effect, clinical significance, and whether a variant is inherited in one or two copies.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to find carriers of specified variants, select variants carried by chosen participants, filter variant annotations, and check relatedness between named individuals.

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Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agent-skills/onekgpd
About the project

Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.

K-Dense-AI/scientific-agent-skills · 44,469 stars · on GitHub · arxiv.org

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add K-Dense-AI/scientific-agent-skills --skill onekgpd
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for onekgpd

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/onekgpd/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/onekgpd)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/onekgpd"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/onekgpd/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for onekgpd

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/onekgpd"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/onekgpd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,825 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 27 Jul 2026
  • Snyk pass 27 Jul 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.04825
Opus 5 $0.00072 $0.02413
Sonnet 5 $0.00029 $0.00965
Haiku 4.5 $0.00014 $0.00483

Measured 8d ago against content hash 918797c80e98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

onekgpd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/onekgpd_api.py, scripts/onekgpd_meta.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/onekgpd/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OneKGPd: Individual-Level Queries over the 1000 Genomes Project

Scope

This skill queries the 1000 Genomes Project dataset — the extended high-coverage cohort of 3,202 whole-genome-sequenced individuals, on the GRCh38 assembly. All results are drawn from this cohort, and sample names returned by the skill (for example HG00096 or NA21130) identify its participants.

Queries resolve against the cohort's per-individual genotype data. This supports two complementary classes of question: selecting variants carried within a region (across the whole cohort or within a specified set of individuals), and selecting the individuals who carry variants matching given criteria. Variant selection can be filtered by allele frequency, predicted consequence, clinical significance, AlphaMissense classification, and the other annotation axes listed below. Relatedness between two named individuals is also available.

The genotype state in which a variant is carried — heterozygous or homozygous — is a criterion that queries may specify; results are returned as variants or as sample names, not as raw genotypes.

When to Use

Use this skill when you need to:

  • Find variants carried in a region or set of regions matching some criteria across the whole cohort (select-variants).
  • Find variants carried in a region or set of regions matching some criteria in specific set of individuals (select-variants-in-samples).
  • Find which 1000 Genomes individuals carry variants matching some criteria in a region or set of regions (select-samples).
  • Count how many individuals carry specific variants (count-samples).
  • Restrict any variant query to heterozygous-only or homozygous-only carriage, or query both together (default).
  • Identify which individuals are homozygous reference at a single position (select-samples-hom-ref).
  • Determine the relatedness between two named 1000 Genomes individuals — both the degree (twin / 1st / 2nd / 3rd / unrelated) and the KING kinship coefficient (kinship).
  • Get dataset totals — sample count, sex split, variant count, assembly (dataset-info).
  • Variant selection can be specified by KGP allele frequency, gnomAD 4.1 exome and gnomAD 4.1 genome allele frequency, AlphaMissense Score and AlphaMissense Class, ClinVar significance (202502), and VEP annotations (impact, biotype, feature type, variant class, consequences).

Read the full file on GitHub · 371 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 371 lines · 143 tokens per session scan A 918797c80e98

Subscribe to this mod's changes

onekgpd is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,469 stars, last pushed today), licensed MIT. It adds 143 tokens to every session and 4,825 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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