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bids

Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.

66

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./backend/cli/skills/biology/bids/SKILL.md

The canonical home for this skill is bids in K-Dense-AI/scientific-agent-skills

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-organized, actionable skill body that uses progressive disclosure effectively and emphasizes validation. The main weakness is conciseness: the BEP table duplicates references/beps.yml and some Overview background could be trimmed.

Suggestions

Replace the inline 25-row BEP table with a brief summary and a pointer to references/beps.yml to remove the duplication and tighten the body.

Trim general background in the Overview (e.g. restating what BIDS is at length) and keep only the non-obvious specifics Claude would not already know.

Add one short numbered end-to-end workflow with an explicit validation checkpoint in the body itself to make the sequence fully self-contained.

DimensionReasoningScore

Conciseness

Mostly efficient and well-targeted, but the 25-row BEP table duplicates content already in references/beps.yml and the Overview includes some general background, so it could be tightened.

3 / 5

Actionability

Concrete install commands and executable snippets (e.g. BIDSLayout with database_path, dataset_description.json) plus specific cause/fix pairs; the bulk of worked code is delegated to core_workflows.md, leaving minor gaps inline.

4 / 5

Workflow Clarity

Clear sequencing of twelve workflow areas with an explicit validation emphasis ('Validate early and often', run the validator after every conversion and fix errors before they compound); minor gaps in numbered checkpoints within the body itself.

4 / 5

Progressive Disclosure

Good structure with one-level-deep references to real files (core_workflows.md, bids_schema.json, beps.yml, etc.) and clear navigation; the inline BEP table that also exists in beps.yml is a minor organization gap.

4 / 5

Total

15

/

20

Passed

Description

92%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 high-quality description: third-person voice, explicit trigger guidance, and a comprehensive, concrete list of capabilities across the BIDS modality spectrum. Minor additional synonyms would push trigger_term_quality to the top anchor.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'organizing neuroscience and biomedical data', 'querying BIDS layouts', 'validating compliance', 'converting DICOM to BIDS', 'writing metadata sidecars', 'creating BIDS derivatives' — with comprehensive coverage across modalities.

5 / 5

Completeness

Explicitly answers both what ('organizing...creating BIDS derivatives') and when ('Use this skill when working with...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Strong natural keyword coverage including the full name 'Brain Imaging Data Structure (BIDS)' and the modality list users would name (MRI, EEG, MEG, PET, etc.) plus 'DICOM to BIDS'; a few natural synonyms/extensions are absent, keeping it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (BIDS datasets) with distinct, domain-specific triggers and minimal overlap risk with other skills.

5 / 5

Total

19

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
synthetic-sciences/openscience
Reviewed

Table of Contents

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