Conciseness

The body is mostly efficient code with no concept-explanation padding, but the Quick Start Python snippet duplicates "Basic Usage" nearly verbatim, the CLI invocation appears twice (uvx form and "Using the Script" section), and the trailing "Future: Support for DOCX, XLSX... coming soon" line is filler — matching anchor 3 ('mostly efficient but could be tightened'). Not anchor 2 because nothing explains concepts Claude already knows and every code block is at least individually useful.

Actionability

All guidance is fully executable and copy-paste ready: complete pypdf snippets for all pages and page ranges, a real bundled script (verified at scripts/extract_pdf_text.py) with documented flags (--output, --pages 1-5, --pages 1,3,5), and dependency-verified execution via "uvx --with pypdf python ...". Common cases are covered.

Workflow Clarity

This is a simple, single-purpose read-only skill and the single action is unambiguous: Quick Start gives the immediate path, subsequent sections enumerate options. Failure modes are addressed in "Common Issues" (scanned PDFs yield no text; encoding fallback via extract_text(layout=True)), which serves as the error-recovery guidance; the destructive/batch validation cap does not apply.

Progressive Disclosure

Good structure with clear section headers, and the one bundle file is appropriately externalized and clearly signaled ("This skill includes scripts/extract_pdf_text.py" — verified to exist, one level deep, no nested references). It falls short of anchor 5 because the ~78-line body contains duplicated sections (Quick Start vs Basic Usage vs Using the Script) that should be consolidated, leaving minor organization gaps.

Specificity

"Straightforward text extraction from document files" names the domain and one concrete action (anchor 3), but the trigger clause "Use when you just need to read/extract text" is second person, which the rubric penalizes by reducing specificity by 1. It is above anchor 2's bar ('Names the domain but actions are minimal or generic') in base content, so the penalty lands it at 2.

Completeness

Both what ("Straightforward text extraction from document files (text-based PDF only for now, no OCR or docx)") and when ("Use when you just need to read/extract text from binary documents") are explicitly stated, but the when-clause restates the what instead of giving concrete trigger phrases (e.g. 'when the user mentions PDFs'), so it does not reach anchor 5.

Trigger Term Quality

Natural phrases users would say are present — "text extraction", "read/extract text", "document files", "PDF", "binary documents" — but common variations like "PDFs", "PDF file", or the ".pdf" extension are missing, matching anchor 4 ('good keyword coverage; a few natural terms missing').

Distinctiveness Conflict Risk

The scope is a clear niche — text extraction limited to text-based PDFs with explicit exclusions ("no OCR or docx") — giving minimal conflict with adjacent document skills. It falls short of anchor 5 only because "binary documents" is a slightly broad trigger phrase that could overlap with other binary-format skills.