umap-learn SKILL.md skillA
umap-learn 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/umap-learn@v1.5Pins v1.5 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/umap-learn/SKILL.md- Versions recorded
- 7
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 21,534 bytes
- Repository stars
- 56,497
- License
- MIT
Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.
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
# UMAP-Learn ## Overview UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fast, scalable embeddings that approximate neighborhood structure, supervised learning, and clustering preprocessing. Before interpreting an embedding, check finite coordinates, neighborhood retention, sensitivity to seeds/parameters, and domain evidence in the original space. UMAP axes, island areas, and gaps between clusters have no calibrated physical or probabilistic meaning. Keep predictive test data outside preprocessing and embedding fits. ## Quick Start ### Installation Verified on 2026-10-01: **umap-learn 0.5.12** is the current stable release (April 2026). Requires Python 3.9+ and depends on `scikit-learn>=1.6`, `numba`, `pynndescent`, `numpy`, and `scipy`. Pin to a verified release: ```bash uv pip install umap-learn==0.5.12 ``` ### Basic Usage …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/umap-learn@sha256:0cfef32ae0e1d52eThe line at the top of this page pins the label v1.5, 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_mnsmsrulk27qoirp)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 21,534 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 17,707 B | A | view · diff |
| v1.3 | 2026-09-10 | 27e3483 | 17,506 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 17,940 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 16,988 B | A | view · diff |
| v1.1 | 2026-06-07 | 758bad1 | 16,983 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 16,271 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 (21534 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 · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mnsmsrulk27qoirp GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/umap-learn GET https://markdownregistry.com/api/v1/blob/0cfef32ae0e1d52eec6513bafc0ab4387cf38e43121fba715762b2b2c11b6930
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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