Conciseness

The body is dominated by lean, executable command examples with no padding or explanation of concepts Claude already knows. Minor trimmable instances keep it below 5: image formats are listed twice (Capabilities bullet and "Supported Image Formats" section), and the 10-row language table is reference material that could be condensed or externalized.

Actionability

Commands are concrete, copy-paste ready, and reference real bundle scripts (scripts/ocr.py, scripts/ocr_url.py both exist), covering the common cases (language selection, preprocessing, JSON output, remote URLs). Not 5 because there are minor gaps: no sample of the JSON/confidence output the capabilities promise and no error-handling guidance for missing dependencies.

Workflow Clarity

This is a simple, single-task skill and the single action is unambiguous: `python3 scripts/ocr.py <image_file> <output_file>`, with all options documented in the Parameters section and both script paths verified present. Per the simple-skill exception, an unambiguous single action with clear, well-organized content warrants 5; no destructive or batch operations require validation checkpoints.

Progressive Disclosure

Sections are well organized (Capabilities, Usage, Parameters, Languages, Dependencies, Installation) and script references are real, correctly pathed, and one level deep. Not 5 because the body exceeds 50 lines and inlines reference-style content (the common-languages table and duplicate format lists) that could live in a separate reference file.

Specificity

"Extract text from images using Tesseract OCR" names the domain (images, OCR) and one concrete action (extract text) plus the engine, matching the anchor for 1-2 concrete actions but not comprehensive. It is not 4 because it does not list several specific actions (e.g., preprocessing, multi-language support, confidence-scored output).

Completeness

It has a clear "what" (extract text from images using Tesseract) but entirely lacks a "Use when..." clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. Not 4 because the "when" is not even weakly implied.

Trigger Term Quality

The description includes natural terms users would actually say — "extract text", "images", "Tesseract", "OCR" — with good coverage. It falls short of 5 because common variations like "scan", "read text from image", "image-to-text", or file extensions (.png, .jpg) are missing.

Distinctiveness Conflict Risk

OCR on images is a clear niche with distinct terminology (Tesseract, OCR), minimizing conflict with unrelated skills. Not 5 because there is minor overlap risk with image-processing or PDF/document-extraction skills, and the absence of explicit triggers leaves the boundary slightly fuzzy.