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tooluniverse-metabolomics

Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases. Integrates HMDB (220k+ metabolites), MetaboLights, Metabolomics Workbench, and PubChem. Use when asked to identify or annotate metabolites (HMDB IDs, chemical properties, pathways), retrieve metabolomics study information from MetaboLights (MTBLS*) or Metabolomics Workbench (ST*), search for studies by keywords or disease, or generate comprehensive metabolomics research reports.

64

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/bio/tooluniverse-metabolomics/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.

The content is well-structured and gives concrete tool parameter detail, but it is verbose with redundant restatements of the same pipeline, lacks executable code examples, and points to a non-existent QUICK_START.md. It sits at a competent-but-improvable level across all dimensions.

Suggestions

Collapse the redundant pipeline descriptions: keep the Research Workflow phases and the Tool Parameter Reference, and remove the re-statement in Usage Patterns and Summary to cut length.

Add a short executable example (a real tool call with parameter values and isinstance-based response parsing) inline, or create the missing QUICK_START.md so the reference resolves.

Insert an explicit validation checkpoint in Phase 1 (e.g., verify HMDB returned a valid metabolite record before annotating) to support the batch metabolite-list workflow.

DimensionReasoningScore

Conciseness

The ~290-line body restates the same 4-phase pipeline three times (Research Workflow, Usage Patterns, and Summary) and the Use Case section rehashes the description, so it is mostly useful but padded with redundancy. It avoids explaining concepts Claude already knows, which keeps it above a 1.

2 / 3

Actionability

Concrete tool names, required parameters, and response formats are given in the parameter tables and SOAP/fallback notes, but there is no executable code or call example, and the promised QUICK_START.md code examples file is missing.

2 / 3

Workflow Clarity

The 4-phase pipeline is clearly sequenced with numbered steps and graceful continue-on-failure handling, but processing metabolite lists is a batch operation with no explicit validation checkpoint before annotation, which caps the score per the batch-operations guideline.

2 / 3

Progressive Disclosure

Sections are well-organized, but the body is monolithic with large inline tool-reference tables and Common Issues that could be split out, and it references QUICK_START.md which does not exist in references/, scripts/, assets/, or root.

2 / 3

Total

8

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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.

The description is specific, complete, and distinctive, with an explicit Use-when trigger clause and natural domain keywords. It is a strong, third-person description with no over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—"identifying metabolites, analyzing studies, and searching metabolomics databases" plus "identify or annotate metabolites," "retrieve metabolomics study information," "search for studies," and "generate comprehensive metabolomics research reports."

3 / 3

Completeness

Clearly states what (identifies metabolites, analyzes studies, searches HMDB/MetaboLights/Metabolomics Workbench/PubChem) and when via an explicit "Use when asked to..." clause enumerating multiple trigger scenarios.

3 / 3

Trigger Term Quality

Covers natural domain terms a user would say—"metabolites," "HMDB IDs," "MetaboLights (MTBLS*)," "Metabolomics Workbench (ST*)," and "studies by keywords or disease"—with good breadth of phrasings.

3 / 3

Distinctiveness Conflict Risk

A clear metabolomics niche with database-specific triggers (MTBLS*, ST*, HMDB IDs) makes it 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
wu-yc/LabClaw
Reviewed

Table of Contents

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