genomic-intelligence SKILL.md skillA

genomic-intelligence 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/genomic-intelligence@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/genomic-intelligence/SKILL.md
Versions recorded
8
Latest version
v1.4, committed Oct 1, 2026
First version recorded
Jul 23, 2026
Size
24,826 bytes
Repository stars
56,497
License
MIT

Predicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene…

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

# Genomic Intelligence — DNA Sequence Models

Genomic Intelligence (GI) serves transformer DNA language models over six
sequence-analysis tasks on managed GPUs. Give it a **gene symbol**, a **genomic
region**, or a **DNA/FASTA sequence**; it returns structured predictions —
promoter regions, splice sites, enhancer activity, chromatin state, expression
(log TPM), and de-novo gene annotation. Nothing runs locally: no model weights,
no GPU, no heavy Python stack. It is a thin client over a hosted, versioned
inference API.

**Official docs:** [docs.genomicintelligence.ai](https://docs.genomicintelligence.ai) ·
REST contract at [api.genomicintelligence.ai/v1/openapi.json](https://api.genomicintelligence.ai/v1/openapi.json) ·
hosted MCP server at `https://mcp.genomicintelligence.ai/mcp`

## When to use this skill

Use GI when the user has DNA and wants a model prediction:

- **Find promoters** in a genomic region (`promoter`)
- **Predict splice** donor/acceptor sites (`splice`)
- **Score enhancer activity** — developmental & housekeeping (`enhancer`)
- **Annotate chromatin state** across hundreds of tracks (`chromatin`)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/genomic-intelligence@sha256:cdb027004996d313

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_lrwnbbmgwseskxud.svg)](https://markdownregistry.com/a/art_lrwnbbmgwseskxud)

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

Versions

The registry has recorded 8 versions of this file, between Jul 23, 2026 and Oct 1, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 24,826 BA view · diff
v1.32026-09-30 ce9e6e9 21,698 BA view · diff
v1.22026-09-11 ca2620d 21,431 BA view · diff
v1.12026-09-11 45af7ae 21,019 BA view · diff
v1.02026-07-26 b085e11 12,345 BA view · diff
git:20260725.665663c2026-07-25 665663c 12,602 BA view · diff
git:20260724.aa043102026-07-24 aa04310 12,600 BA view · diff
git:20260723.8f4fb7a2026-07-23 8f4fb7a 11,870 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 (24826 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_lrwnbbmgwseskxud
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/genomic-intelligence
GET https://markdownregistry.com/api/v1/blob/cdb027004996d313d31b55f6b93306de45306a89b8a4a792e94c36cf2d1dea20

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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