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openalex-database

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

67

Quality

82%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is highly actionable with complete, executable code, but it is verbose in places and the referenced bundle files do not exist, leaving progressive disclosure and workflow validation weaker.

Suggestions

Trim restated API background (Entity Types, External IDs, Common Filter Patterns, Notes) and the K-Dense Web promotional section to reduce tokens on content Claude already knows.

Add explicit verify/validation checkpoints to batch_lookup and paginate_all workflows (e.g., confirm result count matches expected, retry on partial failure) to lift workflow clarity.

Create the referenced references/ and scripts/ bundle files so progressive-disclosure pointers resolve to real content, or remove the dangling references.

DimensionReasoningScore

Conciseness

The body is mostly efficient code examples, but sections like Common Filter Patterns, Entity Types, External IDs, Troubleshooting, and Notes restate API knowledge Claude already has, and the closing K-Dense Web promotion is off-topic bloat that could be trimmed.

2 / 3

Actionability

Provides fully executable Python throughout — specific function names, parameters, filter syntax, and copy-paste-ready examples such as `client.search_works(search="machine learning", per_page=100)`.

3 / 3

Workflow Clarity

Sequences like the two-step entity lookup are clear, but batch operations (`batch_lookup`, `paginate_all`) and large-scale extraction lack explicit validation/verification checkpoints, capping workflow clarity at 2 per the batch-operation guidance.

2 / 3

Progressive Disclosure

References to `references/api_guide.md`, `references/common_queries.md`, and the scripts are signaled, but no references/, scripts/, or assets/ bundle directories exist, so the references are dangling; filter-pattern content that could live in a separate file is inlined.

2 / 3

Total

9

/

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, trigger-rich, and clearly answers both what the skill does and when to use it, with a well-defined niche. It is a strong example matching the rubric's top anchors across all dimensions.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions such as "searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications" and "conducting bibliometric analysis" rather than vague language.

3 / 3

Completeness

Clearly answers both what ("Query and analyze scholarly literature using the OpenAlex database") and when ("This skill should be used when...", "Use for...") with explicit triggers, exceeding the implicit-when cap of 2.

3 / 3

Trigger Term Quality

Includes natural terms a user would say — "academic papers", "research trends", "citations", "open access publications", "literature searches", "citation analysis" — covering common variations.

3 / 3

Distinctiveness Conflict Risk

Has a clear niche (OpenAlex, bibliometric analysis of 240M+ scholarly works) with distinct triggers unlikely to overlap with other skills.

3 / 3

Total

12

/

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: 3 missing

Warning

Total

14

/

16

Passed

Repository
wu-yc/LabClaw
Reviewed

Table of Contents

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