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cellxgene-skill

Submit compact CELLxGENE Discover API requests for public collection and dataset metadata. Use when a user wants concise single-cell collection summaries

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A compact, well-structured skill body with executable examples, clear ordering guidance, and a verified single-file bundle. Minor base_url repetition is the only token-efficiency nitpick.

DimensionReasoningScore

Conciseness

Lean body with no concept padding — operating rules, field lists, and executable examples assume Claude's competence; every section earns its tokens despite minor repetition of the base_url across examples.

3 / 3

Actionability

Provides a copy-paste-ready bash invocation with a concrete JSON stdin payload, explicit required/optional fields, and real CELLxGENE path examples.

3 / 3

Workflow Clarity

A simple single-action skill whose one operation is unambiguous; the Execution behavior section sequences the preferred call path (collection detail first, then broad archive list).

3 / 3

Progressive Disclosure

Well-organized short body with a single real bundle script (scripts/rest_request.py, confirmed present) referenced cleanly and an explicit note that no further references are required.

3 / 3

Total

12

/

12

Passed

Description

85%

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 explicit what-and-when coverage and third-person voice. Its main weakness is trigger-term breadth, covering only a narrow slice of how users might phrase single-cell metadata requests.

Suggestions

Broaden trigger terms to include common variants users might say, e.g. 'Use when a user asks for single-cell data, scRNA-seq collections, or CELLxGENE dataset metadata.'

DimensionReasoningScore

Specificity

Names the concrete domain and actions — 'Submit compact CELLxGENE Discover API requests for public collection and dataset metadata' — listing multiple specific capabilities rather than vague language.

3 / 3

Completeness

Explicitly answers both what it does (submit API requests for collection/dataset metadata) and when to use it via the 'Use when a user wants concise single-cell collection summaries' trigger clause.

3 / 3

Trigger Term Quality

Includes natural phrases like 'single-cell collection summaries' and 'CELLxGENE', but misses common variations a user might say (e.g. scRNA-seq, single-cell data, dataset metadata lookup).

2 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (CELLxGENE Discover single-cell metadata) with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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
openai/plugins
Reviewed

Table of Contents

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