onekgpd SKILL.md skillA

onekgpd from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/onekgpd@v1.4

Pins v1.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k-dense-ai/scientific-agent-skills
Path
skills/onekgpd/SKILL.md
Versions recorded
6
Latest version
v1.4, committed Oct 1, 2026
First version recorded
Jun 29, 2026
Size
22,564 bytes
Repository stars
56,497
License
MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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.

The public service is **TLS gRPC at `db.dnaerys.org:443`**, accessed with
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/onekgpd@sha256:6a7c0a90c42e899e

The line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hq7nm3qwle4x7taf.svg)](https://markdownregistry.com/a/art_hq7nm3qwle4x7taf)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 29, 2026 and Oct 1, 2026, about one every 19 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 22,564 BA view · diff
v1.32026-09-30 ce9e6e9 19,467 BA view · diff
v1.22026-07-26 b085e11 18,871 BA view · diff
git:20260710.aa716d02026-07-10 aa716d0 18,876 BA view · diff
git:20260707.1e2f2dc2026-07-07 1e2f2dc 18,876 BA view · diff
git:20260629.26d70862026-06-29 26d7086 18,526 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (22564 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hq7nm3qwle4x7taf
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/onekgpd
GET https://markdownregistry.com/api/v1/blob/6a7c0a90c42e899e818de866e843cf60d5434422fa69b910a7db9a06f25240e9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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