lamindb SKILL.md skillA
lamindb 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/lamindb@v2.0Pins v2.0 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/lamindb/SKILL.md- Versions recorded
- 6
- Latest version
- v2.0, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 8,202 bytes
- Repository stars
- 56,497
- License
- MIT
Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.
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
# LaminDB ## When to use Use for registering biological datasets, curating DataFrame/AnnData metadata, querying annotated artifacts, and tracking scientific scripts or workflows. LaminDB stores metadata in SQLite/PostgreSQL and files in configured storage; registration alone does not establish scientific validity or FAIR compliance. This skill targets **LaminDB 2.10.0 and Bionty 2.5.0**. The local examples were executed on Python 3.12, pandas 3.0.6, and AnnData 0.13.2. The LaminDB release caps AnnData at 0.13.2; preserve its dependency constraints. Install IPython for registry synonym helpers (`add_synonym()` imports it in this release). ## Workflow 1. Confirm the intended instance, storage, and write scope with `lamin info`. Use a new local development directory for experiments. See [setup and deployment](references/setup-deployment.md). 2. Define typed `Feature` records and a `Schema` for the biological data. Use registry-backed categorical dtypes for controlled vocabularies; `dtype=str` only checks strings. See [annotation and validation](references/annotation-validation.md). 3. Review the ontology source/version and organism. Standardize only reviewed …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/lamindb@sha256:00f1246a7f59b6ecThe line at the top of this page pins the label v2.0, 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_delkzplkwxmqrh7l)
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 | |
|---|---|---|---|---|---|
| v2.0 latest | 2026-10-01 | a92663a | 8,202 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 17,387 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 17,084 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 16,127 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 16,132 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 14,385 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 (8202 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_delkzplkwxmqrh7l GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/lamindb GET https://markdownregistry.com/api/v1/blob/00f1246a7f59b6ec11ca119687ccc3ff384547f40d44f2140f557ac3ddd01b35
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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