Conciseness

The ~320-line body is noticeably verbose: install instructions appear three times ("## Dependencies", "## Installation", "## Prerequisites"), and template boilerplate sections ("Key Features", "Example Usage", "Implementation Details") mostly contain filler like "See `## Features` above for related details" with broken forward references. It is not 1 because the parameter table, algorithm description, and output format sections are substantive domain content rather than generic padding.

Actionability

There is concrete code (Python API examples, CLI invocation, py_compile checks) and a parameter table, but the examples are not executable against the actual bundle: they import "WesternBlotQuantifier" while scripts/main.py defines "WBQuantifier", and examples pass "lane_count" while the documented parameter is "lane_positions". This fits the some-concrete-but-incomplete anchor rather than anchor 4's mostly-executable guidance.

Workflow Clarity

The 5-step Workflow is clearly sequenced with explicit validation and fallback checkpoints ("stop early if the task would require unsupported assumptions", "If execution fails or inputs are incomplete, switch to the fallback path"), plus a Quick Check compile step. It is not 5 because the checkpoints are stated generically rather than anchored to concrete validation commands per step, leaving minor validation gaps.

Progressive Disclosure

The body has extensive section structure and the referenced script paths (scripts/__init__.py, scripts/main.py) are real bundle files, but everything — examples, algorithm details, security checklist, risk assessment, lifecycle status — is inlined in one ~320-line SKILL.md that should be split into reference files, and navigation signals are unreliable (broken "See above" references and "primary implementation surface: scripts/__init__.py" when main.py is the entry point). This matches the some-structure-but-could-be-better-organized anchor.

Specificity

The description lists three concrete actions — "identify Western Blot gel bands", "perform densitometric analysis", and "calculate normalized values relative to loading controls" — which matches the anchor for several specific actions with minor gaps. It is not 5 because output/export and image-preprocessing capabilities from the body are not covered.

Completeness

The "what" is clearly stated (band identification, densitometry, normalization to loading controls) but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. It is not 2 because the "what" is concrete and specific rather than vague.

Trigger Term Quality

Strong domain keywords users would naturally say: "Western Blot", "gel bands", "densitometric analysis", "loading controls". A few natural terms are missing — "densitometry", "band intensity", and image file extensions (.png, .tif) — so it fits good-coverage-with-gaps rather than comprehensive coverage.

Distinctiveness Conflict Risk

"Western Blot gel bands" and "densitometric analysis... relative to loading controls" define a clear niche with distinct triggers; virtually no other skill category would claim these terms, matching the clear-niche anchor. There is no neighboring anchor that fits better.