geniml SKILL.md skillA
geniml from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/geniml@git:20260528.3e3f998Pins git:20260528.3e3f998 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/genomics-bioinformatics/interval-ops/geniml/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260528.3e3f998, committed May 28, 2026
- Size
- 17,372 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Python library for genomic interval ML. Train/apply region2vec embeddings turning BED regions into vectors, index interval datasets for ML, search embedding space with BEDSpace, and evaluate embedding quality. Use for chromatin accessibility clustering, regulatory element classification, and cross-sample region comparison.
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 library that bridges genomic interval biology and machine learning. It provides region2vec for learning dense vector representations of genomic regions from BED files, BEDSpace for nearest-neighbor search in embedding space, dataset classes for ML-ready genomic interval loading, and evaluation utilities for embedding quality. Geniml is designed for researchers who want to apply modern ML techniques to chromatin accessibility, histone modification, or other region-based genomic data. ## When to Use - Learn dense embeddings of genomic regions from a collection of BED files to enable ML-based analysis (region2vec) - Cluster chromatin accessibility peaks or histone modification sites by embedding similarity - Search for genomic regions similar to a query region using approximate nearest-neighbor search (BEDSpace) - Build training datasets for ML models from BED-format genomic intervals with a PyTorch-compatible interface - Compare embedding quality across training runs or datasets using quantitative metrics - Integrate genomic region representations into custom neural network architectures …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/geniml@sha256:28b9e67b4a3a0d78The line at the top of this page pins the label git:20260528.3e3f998, 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_arombfe6kumjp5j5)
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Versions
The registry has recorded 1 version of this file, committed on May 28, 2026.
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 (17372 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
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_arombfe6kumjp5j5 GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/geniml GET https://markdownregistry.com/api/v1/blob/28b9e67b4a3a0d78d0141c2984a470b0974eb704bb8fe7466193de61c613b541
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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