geniml SKILL.md skillA
geniml from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/geniml@git:20260710.0115f49Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/scientific/geniml/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260710.0115f49, committed Jul 10, 2026
- First version recorded
- Apr 6, 2026
- Size
- 10,094 bytes
- Repository stars
- 4
- License
- none declared
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
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
# Geniml: Genomic Interval Machine Learning ## Overview Geniml is a Python package for building machine learning models on genomic interval data from BED files. It provides unsupervised methods for learning embeddings of genomic regions, single cells, and metadata labels, enabling similarity searches, clustering, and downstream ML tasks. ## Installation Install geniml using uv: ```bash uv uv pip install geniml ``` For ML dependencies (PyTorch, etc.): ```bash uv uv pip install 'geniml[ml]' ``` Development version from GitHub: ```bash uv uv pip install git+https://github.com/databio/geniml.git ``` ## Core Capabilities Geniml provides five primary capabilities, each detailed in dedicated reference files: ### 1. Region2Vec: Genomic Region Embeddings Train unsupervised embeddings of genomic regions using word2vec-style learning. **Use for:** Dimensionality reduction of BED files, region similarity analysis, feature vectors for downstream ML. **Workflow:** 1. Tokenize BED files using a universe reference 2. Train Region2Vec model on tokens 3. Generate embeddings for regions **Reference:** See `references/region2vec.md` for detailed workflow, parameters, and examples. …
Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/geniml@sha256:a82751cbafff46bbThe line at the top of this page pins the label git:20260710.0115f49, 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_wuvmjakgtctxxeuj)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.0115f49 latest | 2026-07-10 | 0115f49 | 10,094 B | A | view · diff |
| git:20260710.d1b3aa8 | 2026-07-10 | d1b3aa8 | 10,091 B | A | view · diff |
| git:20260710.ffb3400 | 2026-07-10 | ffb3400 | 10,091 B | A | view · diff |
| git:20260515.b861afb | 2026-05-15 | b861afb | 10,091 B | A | view · diff |
| git:20260406.05dff34 | 2026-04-06 | 05dff34 | 10,092 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 (10094 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wuvmjakgtctxxeuj GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/geniml GET https://markdownregistry.com/api/v1/blob/a82751cbafff46bbdec35e2159f639d323fd9aef1dae23937fbc9c7146ba8a15
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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