scikit-bio SKILL.md skillA
scikit-bio 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/scikit-bio@v1.4Pins 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/scikit-bio/SKILL.md- Versions recorded
- 6
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 23,908 bytes
- Repository stars
- 56,497
- License
- MIT
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
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
# scikit-bio ## Overview Targets scikit-bio 0.7.4. Use it for sequence manipulation, alignment, phylogenetics, microbial ecology, and multivariate statistics. Native tests exercise small synthetic fixtures; examples with filenames or undefined inputs are workflow templates. See [review evidence and boundaries](references/review.md). ## When to Use This Skill This skill should be used when the user: - Works with biological sequences (DNA, RNA, protein) - Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.) - Performs sequence alignments or searches for motifs - Constructs or analyzes phylogenetic trees - Calculates diversity metrics (alpha/beta diversity, UniFrac distances) - Performs ordination analysis (PCoA, CCA, RDA) - Runs statistical tests on biological/ecological data (PERMANOVA, ANOSIM, Mantel) - Analyzes microbiome or community ecology data - Works with protein embeddings from language models - Needs to manipulate biological data tables ## Core Capabilities ### 1. Sequence Manipulation Work with biological sequences using specialized classes for DNA, RNA, and protein data. **Key operations:** …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/scikit-bio@sha256:4a7a5760adadf327The 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.
[](https://markdownregistry.com/a/art_sch7zqqehxknjqmi)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 23,908 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 20,775 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 20,465 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 19,513 B | A | view · diff |
| v1.1 | 2026-05-28 | 450905e | 19,508 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 14,766 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 (23908 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_sch7zqqehxknjqmi GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/scikit-bio GET https://markdownregistry.com/api/v1/blob/4a7a5760adadf32782dc4694028371df13b25472ff8ffe4cef2b2fc564226f6c
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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