Conciseness

The ~596-line body inlines complete function implementations (docstrings, comments, full code) for all seven capabilities. The domain content is relevant rather than padding Claude already knows, but the volume far exceeds a lean overview — especially since equivalent implementations already exist in scripts/ — matching the 'could be tightened' 3 anchor rather than the 'minor trimming' of 4.

Actionability

Nearly all code is complete and executable with realistic sample data (Quick Start, three Typical Workflows). The gap: the stability section defines arrhenius_stability and fit_degradation_kinetics calling stats.linregress without importing scipy.stats in that block (the import only appears in Workflow 3), so a direct copy of that section raises NameError — a minor gap fitting the 4 anchor.

Workflow Clarity

Typical Workflows provide concrete, runnable end-to-end sequences with real data, and code includes input checks (FileNotFoundError on image load, blood_uptake > 0 guard) plus a Troubleshooting section with problem/solution pairs for error recovery. Falls short of 5 because the workflows are one-shot examples rather than explicitly checkpointed step sequences with validation gates.

Progressive Disclosure

Five bundle scripts exist (biodistribution.py, dose_response.py, stability_prediction.py, western_blot.py, xenograft_tgi.py; ~1,570 lines) but the body never references any of them — instead it inlines duplicate implementations, producing a 600-line monolithic SKILL.md. This matches the 2 anchor ('content that clearly belongs in separate files is inlined') rather than 3, since there are zero pointers to the bundle, not merely unclear ones.

Specificity

The description lists multiple concrete capabilities ('Western blot densitometry, xenograft tumor growth inhibition, pharmaceutical stability modeling (Arrhenius), radiolabeled antibody biodistribution, MIRD dosimetry, and adverse event grading'), but omits dose-response/IC50-EC50 fitting, which is a full body section, leaving a minor coverage gap consistent with the 4 anchor rather than 5.

Completeness

The 'what' is explicit and comprehensive, but there is no 'Use when...' clause or equivalent trigger guidance for this skill itself — the final sentence ('For drug databases use chembl-database or fda-database; for molecular docking use diffdock') only routes to other skills. Per the judging guideline, a missing trigger clause caps completeness at 3.

Trigger Term Quality

Good natural keyword coverage ('western blot', 'xenograft', 'biodistribution', 'adverse event', 'stability'), but common user phrasings like 'IC50', 'EC50', 'dose-response', 'shelf life', and 'CTCAE' are missing, so it falls just short of the comprehensive-synonym coverage of the 5 anchor.

Distinctiveness Conflict Risk

It occupies a clear niche (computational analysis of pharmacology wet-lab experiments) and explicitly disambiguates against neighboring skills ('For drug databases use chembl-database or fda-database; for molecular docking use diffdock'), giving minimal conflict risk.