pathml

Use PathML for local, research-only computational pathology workflows: load and tile slides, build preprocessing and QC pipelines, manage h5path data, quantify multiplex images, construct spatial graphs, and plan bounded model inference.

Quality

83%

Does it follow best practices?

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Securityby

Critical

Do not install without reviewing

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Highly actionable, well-sequenced content with strong progressive disclosure and real bundle files; the only weakness is length plus time-sensitive version detail that is not isolated in a deprecated/old-patterns section.

Suggestions

Move or label the version-baseline and date-stamped details (e.g. the 'verified 2026-07-23' block) into a dedicated 'Versioning / deprecated' section so the main flow stays evergreen and leaner.

Trim any version-specific gotchas that are not operationally required for a first run into the relevant reference files to reduce body length.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient and assumes competence (no basic-concept padding), but it is lengthy and carries time-sensitive version/date detail ('verified 2026-07-23', pinned versions) outside an 'old patterns'/'deprecated' section, so it could be tightened.	2 / 3
Actionability	Install, pipeline, and CLI snippets are fully executable and copy-paste ready — e.g. the uv install block and the HESlide/Pipeline example — matching the score-3 anchor.	3 / 3
Workflow Clarity	An 8-step sequenced 'Research workflow' with explicit validation checkpoints (manual pilot assert, manifest and spatial-schema validation) and feedback for error recovery meets the score-3 anchor.	3 / 3
Progressive Disclosure	A concise overview in SKILL.md points to a well-signaled, one-level-deep 'Detailed references' section listing six real reference files, all of which exist, with clear per-file descriptions.	3 / 3
	Total	11 / 12 Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A specific, well-scoped description with strong natural trigger terms and low conflict risk; its only gap is that the usage trigger is bundled into one phrase instead of an explicit enumerated 'Use when…' clause.

Suggestions

Add an explicit 'Use when working with whole-slide images, multiplex imaging, h5path datasets, or spatial graph construction for computational pathology research' trigger clause to lift completeness to 3.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'load and tile slides, build preprocessing and QC pipelines, manage h5path data, quantify multiplex images, construct spatial graphs, and plan bounded model inference' — matching the score-3 anchor.	3 / 3
Completeness	The 'what' is explicit and comprehensive, but the 'when' is compressed into a single 'Use PathML for local, research-only computational pathology workflows' phrase rather than an enumerated 'Use when…' trigger clause, so it falls short of the score-3 anchor.	2 / 3
Trigger Term Quality	Natural domain terms a pathology researcher would say — 'computational pathology', 'slides', 'QC pipelines', 'h5path', 'multiplex images', 'spatial graphs' — give good coverage rather than generic jargon.	3 / 3
Distinctiveness Conflict Risk	A clear computational-pathology niche tied to the named PathML tool, with distinct triggers, makes it unlikely to fire for the wrong skill.	3 / 3
	Total	11 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning

	Total	15 / 16 Passed

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/pathml/SKILL.md
Commit: 757b63b

Reviewed: about 11 hours ago

Table of Contents

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