vaex SKILL.md skillA
vaex 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/vaex@v1.3Pins v1.3 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/vaex/SKILL.md- Versions recorded
- 5
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 7,722 bytes
- Repository stars
- 56,497
- License
- MIT
Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.
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
# Vaex ## When to use Use Vaex for columnar analysis on a single machine when data exceeds RAM, especially repeated reductions and histograms over local Vaex HDF5 or Arrow files. Expressions and virtual columns defer computation; reductions normally execute immediately. Out-of-core storage does not make every operation memory bounded: sorting, joins, large group dictionaries, materialization, and many estimator fits need substantial RAM. ## Installation and verified scope Use a separate environment; the repository's default Python is newer than this release supports: ```bash uv venv --python 3.12 .venv-vaex uv pip install --python .venv-vaex/bin/python "vaex-core==4.19.0" "vaex-hdf5==0.15.0" "vaex-viz==0.6.0" # Optional ML (also installs its declared estimator dependencies): uv pip install --python .venv-vaex/bin/python "vaex-ml==0.19.0" ``` On Windows use `.venv-vaex\Scripts\python.exe` as the interpreter path. The `vaex` 4.19.0 metapackage installs more integrations; it is not needed for the core workflow. Core 4.19.0 declares Python `>=3.9,<3.13`, pandas `<3`, Dask `<2024.9`, and NumPy `<3`. Do not upgrade these constraints independently. Arrow support is in core; …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/vaex@sha256:a8ab5bcb0ab9c8d3The line at the top of this page pins the label v1.3, 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_2euqx5z37dixb5yy)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 7,722 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 9,035 B | A | view · diff |
| v1.1 | 2026-09-02 | 1e5eeff | 8,898 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 7,941 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 7,946 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 (7722 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_2euqx5z37dixb5yy GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/vaex GET https://markdownregistry.com/api/v1/blob/a8ab5bcb0ab9c8d372b987e584b5c589a15b1e2b2f73457546d2888988d40b4f
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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