histolab SKILL.md skillA
histolab from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/histolab@git:20260710.0115f49Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/scientific/histolab/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260710.0115f49, committed Jul 10, 2026
- First version recorded
- Apr 6, 2026
- Size
- 20,153 bytes
- Repository stars
- 4
- License
- none declared
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalisation for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning 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
## Overview
Histolab is a Python library for processing whole slide images (WSI) in digital pathology. It automates tissue detection, extracts informative tiles from gigapixel images, and prepares datasets for deep learning pipelines. The library handles multiple WSI formats, implements sophisticated tissue segmentation, and provides flexible tile extraction strategies.
## Installation
```bash
uv pip install histolab
```
## Quick Start
Basic workflow for extracting tiles from a whole slide image:
```python
from histolab.slide import Slide
from histolab.tiler import RandomTiler
# Load slide
slide = Slide("slide.svs", processed_path="output/")
# Configure tiler
tiler = RandomTiler(
tile_size=(512, 512),
n_tiles=100,
level=0,
seed=42
)
# Preview tile locations
tiler.locate_tiles(slide, n_tiles=20)
# Extract tiles
tiler.extract(slide)
```
## Core Capabilities
### 1. Slide Management
Load, inspect, and work with whole slide images in various formats.
**Common operations:**
- Loading WSI files (SVS, TIFF, NDPI, etc.)
- Accessing slide metadata (dimensions, magnification, properties)
- Generating thumbnails for visualisation
…Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/histolab@sha256:7802560143a48d6dThe line at the top of this page pins the label git:20260710.0115f49, 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_hrz7apwfxt6zqja6)
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Versions
The registry has recorded 5 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.0115f49 latest | 2026-07-10 | 0115f49 | 20,153 B | A | view · diff |
| git:20260710.d1b3aa8 | 2026-07-10 | d1b3aa8 | 20,151 B | A | view · diff |
| git:20260710.ffb3400 | 2026-07-10 | ffb3400 | 20,151 B | A | view · diff |
| git:20260515.b861afb | 2026-05-15 | b861afb | 20,151 B | A | view · diff |
| git:20260406.05dff34 | 2026-04-06 | 05dff34 | 20,152 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 (20153 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hrz7apwfxt6zqja6 GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/histolab GET https://markdownregistry.com/api/v1/blob/7802560143a48d6d88388ec180322af86ebd84e0acdd39e27256c28d163260e1
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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