CtrlK
BlogDocsLog inGet started
Tessl Logo

hmdb-database

Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.

56

Quality

66%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/bio/hmdb-database/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-organized reference guide with concrete URLs, formats, and contacts, but it is verbose with redundant best-practices content and its research workflows lack validation checkpoints. The single external reference is broken (the file is absent), and the content could be better split across files.

Suggestions

Add explicit validation/verification checkpoints to the workflows — especially Database Integration (batch operations) — e.g., 'Verify parsed record count against HMDB metadata before proceeding.'

Create the missing references/hmdb_data_fields.md file (or remove the dangling reference) so the signaled progressive-disclosure link resolves.

Trim redundancy between the inline 'Best Practices' section and earlier 'Usage Requirements'/'Best Practices' notes to improve token efficiency.

DimensionReasoningScore

Conciseness

The body is mostly useful reference (URLs, formats, contacts, workflows) but is lengthy with redundancy — e.g., the 'Best Practices' section restates version/citation/format guidance already covered earlier — so it could be tightened. Not 3 because of padding and repetition; not 1 because it avoids explaining basic concepts Claude already knows.

2 / 3

Actionability

Provides concrete specifics (https://www.hmdb.ca/, https://www.hmdb.ca/downloads, example HMDB IDs, the BiocManager::install command, file formats) but the research workflows are abstract numbered steps without executable commands or scripts. Not 3 because guidance is incomplete rather than copy-paste ready.

2 / 3

Workflow Clarity

Four workflows are clearly sequenced with numbered steps, but none include explicit validation checkpoints; the 'Database Integration' workflow involves batch download/parse operations with no verify step, which caps workflow_clarity at 2 per the rubric. Not 3 due to missing feedback loops; not 1 because steps are clearly ordered.

2 / 3

Progressive Disclosure

The body is well-sectioned but largely a monolithic single file, and its one signaled reference (See references/hmdb_data_fields.md) points to a file that does not exist in the bundle. Not 3 because the split is incomplete and the reference is broken; not 1 because sections are clearly organized and the reference is only one level deep.

2 / 3

Total

8

/

12

Passed

Description

82%

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 with concrete actions and natural trigger terms for its domain. Its main weakness is the absence of an explicit 'Use when...' trigger clause, leaving the activation condition only implied.

Suggestions

Add an explicit trigger clause such as 'Use when working with metabolomics data, identifying metabolites, or querying the Human Metabolome Database.' to lift completeness to 3.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways' — matching the score-3 anchor of several specific actions.

3 / 3

Completeness

The 'what' is explicit, but 'when' is only implied by the trailing 'for metabolomics and identification' with no 'Use when...' trigger clause; per the rubric guideline a missing explicit trigger caps completeness at 2. Not 3 because there is no explicit usage trigger.

2 / 3

Trigger Term Quality

Covers natural terms a metabolomics user would say — 'metabolomics', 'metabolite identification', 'biomarker', 'NMR/MS spectra', 'pathways' — giving good keyword coverage. Not score 2 because it goes well beyond a single generic phrase.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (the Human Metabolome Database) with domain-specific triggers unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

14

/

16

Passed

Repository
wu-yc/LabClaw
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.