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paper-figure

Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-3

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 a clear, validated workflow, but it carries redundant figure-type tables and keeps everything inline in a single long file with no actual bundle references. Tightening the duplication and splitting reference material into bundle files would lift the weaker dimensions.

Suggestions

Collapse the three overlapping figure-type tables (Scope, Step 3 decision tree, Figure Type Reference) into a single canonical table to remove redundancy and improve conciseness.

Move the per-figure code templates and the figure-type reference into scripts/ or references/ bundle files, keeping SKILL.md as an overview that links to them one level deep, to improve progressive disclosure.

Verify the ../../shared-references/*.md links resolve to real files (or inline the essential protocols) so references point to actual bundle content rather than possibly-missing shared paths.

DimensionReasoningScore

Conciseness

The body is mostly efficient and avoids explaining concepts Claude already knows, but figure-type information is restated across three overlapping tables (Scope, the Step 3 decision tree, and the Figure Type Reference) plus a verbose scope section, so it could be tightened. It is not a 3 because of this redundancy, and not a 1 because there is no padded conceptual explanation.

2 / 3

Actionability

Provides fully executable Python (with imports and real matplotlib usage), copy-paste LaTeX table and include snippets, and a concrete bash run loop — concrete and complete rather than pseudocode. It clearly exceeds the incomplete-guidance anchor at 2.

3 / 3

Workflow Clarity

Eight clearly sequenced steps include explicit validation ("Verify all output files exist and are non-empty") and a reviewer feedback loop (review_start → bounded poll → save output), plus a final quality checklist. This matches the clear-sequence-with-validation-and-feedback anchor rather than the missing-checkpoint anchor at 2.

3 / 3

Progressive Disclosure

The file is well-sectioned but monolithic at ~280 lines with all code templates and reference tables inline, and no bundle files exist; the only external links point to shared-references outside this bundle rather than real one-level-deep reference files. It is better organized than the nested/deeply-referenced anchor at 1, but inline content that could be split keeps it below 3.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 third-person, concise, and answers both what the skill does and when to invoke it, with natural multilingual trigger terms. It is among the strongest examples in the rubric.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Generate publication-quality figures and tables from experiment results" — naming both figure and table generation against a concrete data source, matching the multiple-specific-actions anchor rather than the single-domain anchor at 2.

3 / 3

Completeness

Explicitly answers both what (generate publication-quality figures and tables from experiment results) and when via an explicit "Use when" trigger clause, satisfying the top anchor; it is not capped at 2 because the when-guidance is present and explicit.

3 / 3

Trigger Term Quality

"Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper" gives strong coverage of natural terms a user would actually say, including both English and Chinese variants.

3 / 3

Distinctiveness Conflict Risk

"publication-quality figures", "paper figures", and experiment-result plotting carve a clear niche unlikely to trigger for unrelated skills, rather than the generic overlap implied at 2.

3 / 3

Total

12

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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