histolab SKILL.md skillA
histolab 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/histolab@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/histolab/SKILL.md- Versions recorded
- 6
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 8,788 bytes
- Repository stars
- 56,497
- License
- MIT
Extracts and preprocesses whole-slide histology image tiles with Histolab. Use for WSI inspection, tissue masks, random/grid/score-based tile extraction, H&E stain normalization, and tile dataset preparation. For multiplexed imaging or deep learning inference pipelines, use pathml.
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
# Histolab ## When to use Use Histolab to inspect WSI metadata, identify tissue, extract image tiles, and standardize H&E staining. Its masks and scores are image-processing heuristics; they do not diagnose cancer, count individual cells, or establish image quality. ## Installation Histolab 0.7.0 remains the latest published release as of the review date. Its [release constraints](https://github.com/histolab/histolab/blob/v0.7.0/pyproject.toml) require Python <3.12, NumPy <=1.24.4, scikit-image <0.19.4, SciPy <1.10.1, Pillow <11, and openslide-python 1.3.1. Keep this stack isolated from modern scientific environments. Windows is not supported by this Histolab release. Install [native OpenSlide](https://openslide.org/download/) for your system, then create a dedicated environment (Python 3.10 was tested): ```bash uv venv --python 3.10 .venv-histolab uv pip install --python .venv-histolab/bin/python 'histolab==0.7.0' pooch matplotlib .venv-histolab/bin/python -c 'import openslide; print(openslide.__library_version__)' ``` On macOS with Homebrew, `brew install openslide` installs the native library. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/histolab@sha256:af0c6c98951d02caThe 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_owiahq6jcooneuvj)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 8,788 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 10,576 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 10,190 B | A | view · diff |
| v1.2 | 2026-07-26 | 2f2022d | 9,232 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 22,039 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 22,044 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 (8788 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_owiahq6jcooneuvj GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/histolab GET https://markdownregistry.com/api/v1/blob/af0c6c98951d02cab64e904504a8ab97b815a461e99744134da0e7dd57189331
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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