Conciseness

No padding with concepts Claude already knows (no explanation of p-values, CIs, or plotting libraries), but the same rules are stated repeatedly: read-only audit mode is specified in the intro, again in a dedicated section, and echoed in the quality-bar exception; the subject-x-task repeated-measure blocker appears in step 1 and again in the failure-mode policy; quarantine rules appear twice. This is more than the minor trimming the 4 anchor describes, though never vague or padded enough to fall to 2.

Actionability

Concrete, instruction-level guidance throughout: exact output filenames and directory tree, an explicit per-figure requirement list (purpose, plotted variables, error-bar meaning, caption requirements, interpretation checklist), a copy-paste-ready claim-candidate markdown template, and specific statistical deliverables (mean +/- std, 95% CI, effect sizes, multiple-comparison handling). Falls short of 5 because the statistical execution itself is delegated to references and some directives remain abstract ("use non-parametric fallback when assumptions fail" without naming the fallback tests).

Workflow Clarity

A clearly sequenced 6-step workflow with explicit validation checkpoints: step 1 validates artifacts and unit of analysis with a hard stop ("If the comparison is not statistically valid, say so before continuing"), step 2 locks comparison questions before running statistics, and the Final QA gate is an explicit do-not-finish-until checklist. Feedback loops for error recovery are present via the failure-mode policy and the quarantine rule for contradictory statistics files, matching the 5 anchor rather than the 4 anchor with minor validation gaps.

Progressive Disclosure

The body is an overview with six real, on-topic reference files (all verified present in references/) listed with one-line purposes under "Load only what is needed" and signaled in-context at the relevant workflow steps — solid one-level-deep structure. However, the "Example files" section lists three files (examples/example-analysis-report.md, example-stats-appendix.md, example-figure-catalog.md) that do not exist in the bundle, and one reference path points outside the skill directory (../research-ideation/references/research-contract.md), which is unverifiable here — keeping it below the 5 anchor but above the 3 anchor, since the defect is confined to peripheral paths.

Specificity

Concrete actions are named via quoted triggers — "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis" — plus a scope statement ("It focuses on strict analysis bundles, not Results-section prose"). Falls below the 5 anchor because the capabilities are framed as user utterances rather than an explicit capability list, and the bundle outputs (analysis-report.md, stats-appendix.md, figures) are not named.

Completeness

Explicit 'when' guidance ("This skill should be used when the user asks to...") with concrete trigger phrases, and a 'what' present via the embedded action phrases and "It focuses on strict analysis bundles, not Results-section prose". Not a 5 because the standalone 'what' statement is indirect and uses internal jargon ("strict analysis bundles") rather than an explicit capability sentence like 'Runs rigorous statistics and generates scientific figures'.

Trigger Term Quality

Comprehensive natural-term coverage with synonyms: "analyze experimental results", "statistical analysis", "compare model performance", "scientific figures", "check significance", "ablation analysis", "interpreting experiment data", "statistics and visualization". These are phrases a user would naturally say; only the self-coined qualifier "strict" is slightly unnatural, and no meaningful natural synonym is missing.

Distinctiveness Conflict Risk

Clear niche (rigorous experimental-results statistics and figure generation) with a boundary cue ("not Results-section prose") that separates it from manuscript-writing skills. Minor overlap risk remains with generic data-visualization or plotting skills ("generate scientific figures") and general data-analysis skills; the neighboring-skill exclusions named only in the body would sharpen this.