Individual skill
pathml
A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simp...
scientific-skills/Data Analysis/pathml/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,042
- Repository last updated
- Sep 17, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- data Derived category
- education Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
POLISH_CHANGELOG.mddoc · 636 bytesSKILL.mdcore · 12,088 bytesSKILL.mdcore · 12,088 bytesSKILL.mdcore · 12,088 bytesSKILL.mdcore · 12,088 byteseval_report_pathml_result.jsonasset · 10,824 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# PathML
## When to Use
- Use this skill when you need a full-featured computational pathology toolkit for advanced wsi analysis, including multiplexed immunofluorescence (codex, vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. supports over 160 slide formats. for simple tile extraction from h&e slides, histolab may be simpler in a reproducible workflow.
- Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
- Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
- Use this skill when `the documented workflow in this package` is the most direct path to complete the request.
- Use this skill when you need the `pathml` package behavior rather than a generic answer.
## Key Features
- Scope-focused workflow aligned to: A full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simple tile extraction from H&E slides, histolab may be simpler.