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tooluniverse-lipidomics

Lipid analysis and lipid-disease associations using LIPID MAPS classification, HMDB metabolite data, KEGG/Reactome lipid pathways (sphingolipid, eicosanoid, steroid, fatty acid), and PubChem chemical info. Use for lipid identification, lipid metabolism pathway mapping, and lipid-associated disease analysis (cardiovascular, diabetes, NAFLD).

66

Quality

79%

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SecuritybySnyk

Low

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tessl review fix ./plugins/tooluniverse/skills/tooluniverse-lipidomics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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 tightly organized, highly actionable lipidomics skill body that pairs concrete tool calls and an executable pipeline with genuine domain expertise. It loses points only on minor verbosity and the absence of explicit validation checkpoints in the workflow.

DimensionReasoningScore

Conciseness

The body is information-dense and mostly domain-specific expertise (LIPID MAPS categories, m/z 184 head-group fragments, KEGG pathway IDs), with only minor explanatory padding in the 'Reasoning Strategy' paragraph that could be trimmed; not a 5 because a few sentences restate general biological context.

4 / 5

Actionability

Provides concrete tool calls with parameters (e.g. LipidMaps_search_by_name(query="ceramide"), kegg_search_pathway(keyword="sphingolipid")), a KEGG pathway table with IDs/enzymes, and an executable Python enrichment snippet; minor gaps (illustrative, unvalidated return shapes) keep it just below 5.

4 / 5

Workflow Clarity

A clearly sequenced Phase 0–4 pipeline with explicit verification guidance ('LOOK UP DON'T GUESS', 'Always verify via HMDB or CTD rather than relying on memory'); not a 5 because there are no explicit validate→fix→retry checkpoints, though this analysis (not destructive/batch) workflow does not trigger the 3-cap.

4 / 5

Progressive Disclosure

Well-organized into clearly headed sections (Reasoning Strategy, When to Use, Core Tools, Workflow phases, Limitations) with no nested references; with no bundle files present the single ~170-line file is appropriately structured, though the pathway table and enrichment code could potentially be externalized.

4 / 5

Total

16

/

20

Passed

Description

83%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, specific description that clearly states both capability and trigger conditions using named specialized data sources and concrete disease examples. It is third-person, well-scoped, and unlikely to misfire, with only minor room to broaden natural trigger synonyms.

DimensionReasoningScore

Specificity

Names the lipidomics domain and several concrete actions ('lipid identification', 'lipid metabolism pathway mapping', 'lipid-associated disease analysis') backed by specific data sources (LIPID MAPS, HMDB, KEGG/Reactome, PubChem); falls short of 5 only because the action list, while specific, is not maximally comprehensive.

4 / 5

Completeness

Explicitly answers both 'what' ('Lipid analysis and lipid-disease associations using LIPID MAPS classification, HMDB metabolite data...') and 'when' ('Use for lipid identification, lipid metabolism pathway mapping, and lipid-associated disease analysis') with concrete trigger phrases, matching the anchor exactly.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ('lipid identification', 'pathway mapping', 'cardiovascular, diabetes, NAFLD') with good coverage, but leans technical and omits a few common lay synonyms; not a 5-level comprehensive set including all variations.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear lipidomics niche anchored by specialized databases (LIPID MAPS, HMDB, KEGG/Reactome, PubChem), making it largely distinct from general metabolomics; minor overlap risk with related omics skills keeps it just below 5.

4 / 5

Total

17

/

20

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

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