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paper-illustration

Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Codex-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.

64

Quality

76%

Does it follow best practices?

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SecuritybySnyk

High

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tessl review fix ./skills/skills-codex/paper-illustration/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%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 body excels at workflow clarity (well-sequenced steps with a strong validation/feedback loop) and is largely actionable via runnable scripts, but it is heavily verbose with repeated style/arrow guidance restated across multiple sections and inlines far too much content that should live in separate reference files.

Suggestions

Extract the repeated CVPR/NeurIPS style guide, color palette, and arrow standards into a single references/style-guide.md and reference it once instead of restating the rules in the Step 1 prompt, Step 3 request, and Step 5 checklist.

Move the full Step 1 prompt template and the Step 5 STRICT review template into references/ files, keeping only a concise summary and a pointer inline in SKILL.md.

Consolidate the bilingual guidance so each rule appears once with both languages side by side, eliminating the near-duplicate 'What to AVOID', 'RED FLAGS', and 'DON'T' lists that restate the same prohibitions.

DimensionReasoningScore

Conciseness

The body is noticeably verbose: the arrow/color/style standards are restated almost verbatim in the Style Guide, the Step 1 prompt template, the Step 3 verification request, and the Step 5 review checklist, and bilingual English+Chinese doubling inflates length further — several padded, redundant sections that could be tightened to a single canonical reference.

2 / 5

Actionability

Provides concrete, copy-paste-ready bash scripts with real curl endpoints, Python JSON payload builders, and base64 image extraction; minor gaps remain in template placeholders like [Component 1] and $ARGUMENTS, but the common-case flow is executable.

4 / 5

Workflow Clarity

Clear Step 0–8 sequence with an explicit validation feedback loop (STRICT review → score gate ≥9 → targeted improvement prompt → loop back to Step 2) and a detailed review checklist, matching the top anchor for sequenced validation and error-recovery feedback loops.

5 / 5

Progressive Disclosure

Despite clear section headers, all material — the full style guide, multi-line prompt templates, complete bash scripts, and the review checklist — is inlined into one 687-line monolithic SKILL.md with no references/ or scripts/ files, so content that clearly belongs in separate files is not split out.

3 / 5

Total

14

/

20

Passed

Description

91%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 strong description: it states concrete capabilities in third person and provides explicit, natural bilingual trigger phrases for both the what and the when. It is held back only by slightly incomplete enumeration of supported figure types and minor overlap with a sibling figure skill.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions — "Generate publication-quality AI illustrations", "Creates architecture diagrams, method illustrations", "Codex-supervised iterative refinement loop" — but does not enumerate the full range of figure types the body covers, leaving minor gaps.

4 / 5

Completeness

Explicitly answers both "what" (generate publication-quality AI illustrations / architecture diagrams / method illustrations with a refinement loop) and "when" ("Use when user says…" with concrete trigger phrases), matching the top anchor.

5 / 5

Trigger Term Quality

Comprehensive natural trigger coverage in both English and Chinese ("生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", "needs visual figures for papers"), giving synonyms and bilingual phrasings a user would actually say.

5 / 5

Distinctiveness Conflict Risk

The niche (AI-generated academic paper illustrations via a Gemini/Codex workflow with specific bilingual triggers) is mostly distinct; minor overlap risk with the related /paper-figure skill mentioned in the body, which the description only implicitly distinguishes.

4 / 5

Total

18

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (691 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

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

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