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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).

65

Quality

77%

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SecuritybySnyk

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

Quality

Content

67%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 lipidomics skill with a clear phased workflow and concrete tool calls. The main weaknesses are some over-explanatory prose in the reasoning section and the absence of explicit validation checkpoints in the pipeline.

Suggestions

Tighten the Reasoning Strategy paragraph into bullet-style guidance, moving pure biology context (e.g., ceramide membrane properties) into a reference file or trimming it, to improve conciseness.

Add explicit validation/verification checkpoints between phases (e.g., confirm the LIPID MAPS ID resolves and matches the input mass before proceeding to pathway mapping).

Consider extracting the KEGG pathway reference table and the enrichment-analysis code into a references/ file, keeping SKILL.md as a lean overview with a one-level-deep pointer.

DimensionReasoningScore

Conciseness

Much of the domain detail (LIPID MAPS categories, KEGG IDs, enzyme-disease links) earns its place, but the dense "Reasoning Strategy" paragraph and opening prose mix method guidance with biology lessons that could be trimmed without losing actionability.

3 / 5

Actionability

Provides concrete tool calls with parameters (e.g., LipidMaps_search_by_name(query="ceramide")), a KEGG pathway table with IDs, and an executable Python enrichment snippet, with only minor illustrative-only gaps.

4 / 5

Workflow Clarity

A clearly sequenced five-phase pipeline (Phase 0-4) with per-phase tool examples; validation/verification checkpoints are largely implicit rather than stated, but the workflow is non-destructive analysis so this is a minor gap.

4 / 5

Progressive Disclosure

Well-organized into clear sections (When to Use, Core Tools, Workflow, Limitations) with no bundle files present; the large pathway table and enrichment code block are inline and could conceivably be split out, but navigation is easy.

4 / 5

Total

15

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20

Passed

Description

87%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, third-person description that clearly states capabilities and explicit use-case triggers tied to a distinctive lipidomics niche. Minor gains are possible by adding a few more natural synonyms and tightening the generic opening phrase.

DimensionReasoningScore

Specificity

Names the lipidomics domain and several concrete actions ("lipid identification", "lipid metabolism pathway mapping", "lipid-associated disease analysis") alongside specific data sources, with only minor generic phrasing like "Lipid analysis".

4 / 5

Completeness

Explicitly answers both what (lipid analysis/associations via LIPID MAPS, HMDB, KEGG/Reactome, PubChem) and when ("Use for lipid identification, lipid metabolism pathway mapping, and lipid-associated disease analysis") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural terms users would say ("lipid identification", "pathway mapping", "cardiovascular, diabetes, NAFLD") plus database names; a few common synonyms or file-type cues are missing, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

Carves a clear lipidomics niche anchored to specialized classification systems and disease contexts, with the body explicitly redirecting general metabolomics and ADMET tasks to sibling skills, so conflict risk is minimal.

5 / 5

Total

18

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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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