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paper-image-extractor

Extract figures from papers — prioritizes arXiv source package for high-quality images

54

Quality

61%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./skills/paper-image-extractor/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The content is concise, well-structured, and appropriately references its bundle script, but the tier-1 and tier-3 fallbacks lack executable code and the workflow omits verification checkpoints for this batch operation. Filling in the concrete commands and a validation step would raise actionability and workflow clarity.

Suggestions

Provide executable commands for Priority 1 (download + unpack the arXiv e-print) and Priority 3 (a PyMuPDF snippet) instead of descriptive prose.

Add a verification checkpoint after extraction, e.g. confirm image count is non-zero and that index.md was written before finishing.

Specify how to obtain/validate the PAPER_ID and handle the case where the arXiv source package is unavailable before falling through.

DimensionReasoningScore

Conciseness

The body is lean and well-organized with no explanation of concepts Claude already knows; every section earns its place, matching the lean-and-efficient anchor-3 example.

3 / 3

Actionability

Priority 2 gives a concrete executable command, but Priority 1 only lists a URL and directory names without download/extract commands and Priority 3 ('Extract embedded image objects ... using PyMuPDF') offers no executable code, so guidance is incomplete.

2 / 3

Workflow Clarity

The 3-tier priority sequence is clear, but this batch extraction workflow has no validation/verification checkpoints (e.g. confirming images were extracted or checking counts), which per the rubric caps workflow clarity at 2.

2 / 3

Progressive Disclosure

This is a short single-purpose skill with clean sections and a real referenced bundle file (scripts/extract_images.py confirmed present), meeting the simple-skill allowance for a 3 with well-organized structure.

3 / 3

Total

10

/

12

Passed

Description

50%

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 concise and third-person with a clear niche, but it states only the 'what' without an explicit 'when to use it' clause and uses a narrow set of trigger terms. Adding a 'Use when...' clause and broader natural keywords would lift it across all dimensions.

Suggestions

Append an explicit trigger clause, e.g. 'Use when extracting figures/images from papers, arXiv preprints, or PDFs.'

Broaden trigger terms to include common variations users would say: 'PDF', 'charts', 'diagrams', 'preprints'.

List a couple more concrete actions (e.g. 'download arXiv source packages, convert PDF figures to PNG') to increase specificity.

DimensionReasoningScore

Specificity

The description names the domain ('figures from papers') and the action 'Extract', plus the arXiv source strategy, but does not list multiple distinct concrete actions like the anchor-3 example does.

2 / 3

Completeness

It clearly states what the skill does ('Extract figures from papers') but provides no 'Use when...' trigger guidance, which per the rubric caps completeness at 2.

2 / 3

Trigger Term Quality

It includes relevant natural terms ('figures', 'papers', 'arXiv', 'images') but misses common variations a user might say such as 'PDF', 'charts', or 'diagrams', matching the anchor-2 'some relevant keywords' level.

2 / 3

Distinctiveness Conflict Risk

The arXiv/figures niche is fairly specific, but the absence of explicit trigger phrases means it could overlap with general PDF or document skills, so it falls short of the clear-niche anchor-3 example.

2 / 3

Total

8

/

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

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository
OpenLAIR/dr-claw
Reviewed

Table of Contents

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