ncbi-datasets-skill

Submit compact NCBI Datasets v2 requests for assembly, genome, taxonomy, and related metadata endpoints. Use when a user wants concise NCBI Datasets summaries; save raw JSON or text only on request.

Quality

85%

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Securityby

Passed

No findings from the security scan

Quality

Content

93%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.

The content is exceptionally lean and well-structured with a concrete executable example and a real referenced bundle script. The only gap is the absence of an explicit validation/retry feedback loop, which slightly caps workflow clarity.

Suggestions

Add a short validate/retry note for failure cases (e.g., on `ok=false`, inspect `error.code`, adjust `path`/`params`, and re-run) to give the workflow an explicit feedback loop.

Dimension	Reasoning	Score
Conciseness	The body is lean and efficiently organized into focused sections (Operating rules, Execution behavior, Input, Output, Execution, References) with no padding and no explanation of concepts Claude already knows; every line earns its place.	5 / 5
Actionability	Provides a concrete, copy-paste-ready executable example plus concrete JSON input objects and a complete enumeration of required/optional fields, covering the common cases directly.	5 / 5
Workflow Clarity	Sections sequence the request lifecycle clearly (input -> execution behavior -> output -> failure handling) with the failure shape documented, but there is no explicit validate/retry feedback loop for the batch or potentially error-prone operations the script supports.	4 / 5
Progressive Disclosure	A short single-purpose skill (under 50 lines) with well-organized sections and the one bundle file it references (scripts/ncbi_datasets.py) confirmed to exist; references are one level deep and the body explicitly states no additional runtime references are required.	5 / 5
	Total	19 / 20 Passed

Description

76%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.

The description is strong, clearly stating both the capability (submitting compact NCBI Datasets v2 requests across named domains) and an explicit trigger clause. It is mostly distinct from other skills, though trigger-term synonym coverage is limited.

Suggestions

Add natural synonyms a user might say beyond "NCBI Datasets" (e.g., "NCBI genome assemblies", "taxon ID lookup", "fetch NCBI assembly reports") to broaden trigger-term coverage.

Consider naming a couple of concrete endpoint actions (e.g., "fetch assembly reports, look up taxa by ID") to push specificity toward comprehensive coverage.

Dimension	Reasoning	Score
Specificity	Names the concrete action ("Submit compact NCBI Datasets v2 requests") plus specific endpoint domains (assembly, genome, taxonomy, metadata) and an explicit output-saving behavior; minor gaps in coverage of individual endpoints keep it below a 5.	4 / 5
Completeness	Explicitly answers both what ("Submit compact NCBI Datasets v2 requests for assembly, genome, taxonomy...") and when ("Use when a user wants concise NCBI Datasets summaries") with concrete trigger guidance.	5 / 5
Trigger Term Quality	Includes the natural phrase "Use when a user wants concise NCBI Datasets summaries", but the keywords are mostly the product/domain name ("NCBI Datasets") with few synonyms or file extensions a user would naturally say.	3 / 5
Distinctiveness Conflict Risk	The narrow NCBI Datasets v2 niche with specific endpoint domains is mostly distinct, with only minor overlap risk against a generic bioinformatics/data-fetching skill.	4 / 5
	Total	16 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: openai/plugins
Path: plugins/life-science-research/skills/ncbi-datasets-skill/SKILL.md
Commit: 1dc1958

Reviewed: 16 hours ago

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