alphagenome SKILL.md skillA
alphagenome 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.
mdr add k-dense-ai/scientific-agent-skills/alphagenome@v1.2Pins v1.2 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/alphagenome/SKILL.md- Versions recorded
- 3
- Latest version
- v1.2, committed Oct 1, 2026
- First version recorded
- Sep 13, 2026
- Size
- 17,428 bytes
- Repository stars
- 55,514
- License
- MIT
Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), scores variants or scans windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and builds Atlas website deep links. Use when…
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
# AlphaGenome and the AlphaGenome Atlas AlphaGenome is DeepMind's sequence-to-function model: 1 Mb of DNA in, predictions at modality-specific resolutions for eleven assay types across thousands of human and mouse tracks out. The **AlphaGenome Atlas** (released 2026-09-08) is that model run once over every possible single-nucleotide change in GRCh38, about 9 billion variants, stored with a single ranking number, the **AlphaGenome Variant Impact (AVI)** score, its genome-wide percentile, and an 18-way attribution of what drives it. Both are reached through one `pip install alphagenome` and one API key. > Research and theoretical modelling only. API outputs must not be used to train > other models, and are not for diagnostic procedures or medical decisions. > Permissive-use downloads have separate terms; check the artifact licence. ## When to use which | You have | Use | Why | | --- | --- | --- | | hg38 SNVs (a VCF, a credible set, a region up to ~1 kb) | **Atlas** via `scripts/atlas_query.py` | precomputed, higher quota, includes AVI and attributions | …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/alphagenome@sha256:b133d2a9ff99652bThe line at the top of this page pins the label v1.2, 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.
[](https://markdownregistry.com/a/art_h4bkbpldps44gypy)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 13, 2026 and Oct 1, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2 latest | 2026-10-01 | a92663a | 17,428 B | A | view · diff |
| v1.1 | 2026-09-30 | ce9e6e9 | 15,965 B | A | view · diff |
| v1.0 | 2026-09-13 | 97c5902 | 15,796 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17428 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
k-dense-ai/scientific-agent-skills · 55,514 stars · license MIT · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_h4bkbpldps44gypy GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/alphagenome GET https://markdownregistry.com/api/v1/blob/b133d2a9ff99652b439e0a6f00f93bad49f388be207f7e0241837e001a964947
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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