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tooluniverse-spatial-transcriptomics

Spatial transcriptomics analysis — Visium, MERFISH, seqFISH, Slide-seq. Maps gene expression to tissue architecture, identifies spatially variable genes (SVGs), tissue-domain segmentation, and cell-cell interaction inference. Use for spatial gene-expression questions, tissue architecture analysis, and SVG identification.

67

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

63%Weight 40%Scale 1-5

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

A well-structured, actionable skill body with a clear 8-phase workflow and concrete tool/parameter guidance, but it is padded with conceptual reasoning sections Claude does not need and relies on reference files that are absent from the bundle.

Suggestions

Trim or move the Reasoning Framework, Evidence Grading, Interpretation Guidance, and Synthesis Questions sections into a separate reference file; keep only operationally essential guidance inline to improve token efficiency.

Provide the missing code_examples.md and report_template.md (or remove the dead links) so the 'Reference Files' pointers resolve to real bundle files.

Add explicit feedback loops for the QC and validation gates (e.g. 'if QC fails, re-examine low-quality spots and re-run') to lift workflow clarity toward full checkpoint coverage.

DimensionReasoningScore

Conciseness

The operational core (workflow, tool names, QC thresholds, params) is efficient, but the Reasoning Framework, Evidence Grading (T1-T4), Interpretation Guidance, and Synthesis Questions sections explain biology and statistics Claude largely already knows and could be tightened.

3 / 5

Actionability

Provides concrete tool names with parameters (e.g. HuBMAP_search_samples(organ="LK", sample_category="block", registered_only=True)), specific QC thresholds, and executable scanpy snippets; minor gaps because the detailed per-phase code lives in a referenced code_examples.md.

4 / 5

Workflow Clarity

The 8-phase workflow is clearly sequenced with an ASCII diagram and validation checkpoints (QC filters in Phase 1, FDR<0.05 in Phase 4, marker-gene validation in Phase 6, alignment verification), but explicit validate->fix->retry feedback loops are not spelled out.

4 / 5

Progressive Disclosure

Good in-body structure with clear section headers and a dedicated 'Reference Files' section, but the 355-line body inlines content (tool catalog, reasoning framework) that belongs in separate files, and the two referenced files (code_examples.md, report_template.md) do not exist in the bundle — the references are dead.

3 / 5

Total

14

/

20

Passed

Description

100%Weight 40%Scale 1-5

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, concise description that names the domain, lists concrete capabilities, and provides an explicit 'Use for' trigger clause with natural platform keywords. It is specific, complete, and clearly distinguishable from sibling skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Maps gene expression to tissue architecture, identifies spatially variable genes (SVGs), tissue-domain segmentation, and cell-cell interaction inference' — giving comprehensive coverage of the skill's analysis capabilities.

5 / 5

Completeness

Explicitly answers both what (the four analysis actions) and when ('Use for spatial gene-expression questions, tissue architecture analysis, and SVG identification') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes the natural platform names users say ('Visium, MERFISH, seqFISH, Slide-seq') plus synonyms ('SVGs' / 'spatially variable genes') and 'spatial gene-expression', covering the domain's natural trigger terms comprehensively.

5 / 5

Distinctiveness Conflict Risk

A clear niche — spatial transcriptomics with named platforms and specific analysis outputs — with distinct triggers and minimal overlap risk against other skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 missing

Warning

Total

15

/

16

Passed

Repository
mims-harvard/ToolUniverse
Reviewed

Table of Contents

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