CtrlK
BlogDocsLog inGet started
Tessl Logo

tooluniverse-spatial-omics-analysis

Spatial multi-omics interpretation pipeline. Transforms spatially variable genes (SVGs), domain annotations, and tissue context into biological insights via domain-by-domain characterization, cell-type composition, spatial gene expression patterns, RNA+protein+metabolite integration. Use for Visium, MERFISH, seqFISH, Slide-seq, spatial proteomics, and spatial multi-omics interpretation. Goes beyond statistics to disease mechanisms and therapeutic opportunities.

64

Quality

75%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./plugin/skills/tooluniverse-spatial-omics-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

A well-structured overview of a complex 9-phase pipeline with clear sequencing and concrete tool/parameter tables, but it relies on reference files that are absent from the bundle and lacks in-body validation checkpoints and runnable examples. Moderate quality with structural gaps to close.

Suggestions

Ship the referenced bundle files (phase-procedures.md, report-template.md, reference-data.md, tool-reference.md) or inline the essential per-phase steps so the signaled references are not dead links.

Add explicit per-phase validation checkpoints (e.g., confirm gene-ID resolution succeeded and enrichment FDR<0.05 filter applied before advancing) rather than relying on the end-of-run checklist alone.

Provide at least one runnable Python example for the 'COMPUTE, DON'T DESCRIBE' directive and trim the redundant 'Summary' section that restates the phase list.

DimensionReasoningScore

Conciseness

Mostly operational (tables, tool lists, scoring) with little concept explanation, but the closing 'Summary' section restates the phase list and 'Common Use Cases' adds length that could be tightened.

2 / 3

Actionability

Names specific tools, parameters, FDR<0.05 thresholds, and a report template, but the executable per-phase workflows are deferred to reference files and no runnable code example is given for the 'COMPUTE, DON'T DESCRIBE' directive.

2 / 3

Workflow Clarity

Phases 0-8 are clearly numbered and sequenced with a completeness checklist, but per-phase validation/feedback checkpoints are implicit or deferred rather than explicit in the body.

2 / 3

Progressive Disclosure

The body is structured as an overview with clearly signaled one-level-deep references (phase-procedures.md, report-template.md, etc.), but none of those bundle files actually exist in the repo, so navigation is broken.

2 / 3

Total

8

/

12

Passed

Description

100%

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 strong, third-person description that clearly states capabilities and provides an explicit 'Use for' trigger clause with domain-specific platform keywords. It is concise, concrete, and highly distinctive with low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'domain-by-domain characterization, cell-type composition, spatial gene expression patterns, RNA+protein+metabolite integration' — rather than vague language.

3 / 3

Completeness

Explicitly states what it does ('Transforms ... into biological insights via ...') and when to use it with an explicit 'Use for ...' trigger clause.

3 / 3

Trigger Term Quality

Covers the natural platform terms a spatial-omics user would actually say — 'Visium, MERFISH, seqFISH, Slide-seq, spatial proteomics, and spatial multi-omics interpretation'.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (spatial multi-omics interpretation) with platform-specific triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mims-harvard/ToolUniverse
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.