Conciseness

The body is dense and table-driven with essentially no padding, but contains minor trimmable over-explanation Claude does not need, e.g. "An SRM means the observed split differs from the configured one" and "`scipy.stats.chisquare` takes observed and expected counts and returns the statistic and p-value", fitting anchor 4 rather than 5's every-token-earns-its-place profile.

Actionability

The srm_check.py script is complete and executable with a usage line, exit-code contract, and worked example ("For 503,000 / 497,000 at 50/50: chi2 = 36.0, p ≈ 2e-9"), and every step names concrete file paths (experiments/<id>/proposal.yml, checklist.md, result.md), matching the copy-paste-ready top anchor.

Workflow Clarity

Steps 1-7 are sequenced gates with explicit checkpoints (Step 1 and Step 4 "Checkpoint:" blocks), a validate-fix-rerun feedback loop for SRM ("Fix the cause, then either restart the experiment or exclude the affected period, re-run `srm_check.py`, and continue only on exit code 0"), and a hard decision rule ("Any failed gate means 'no-ship' or 'extend', never 'ship with a note'"), matching the top anchor; the skill is not destructive/batch so no cap applies.

Progressive Disclosure

The single reference (references/checklist-template.md, verified to exist) is one level deep and clearly signaled from both Overview and References, and sections are well organized, but details such as the SRM root-cause taxonomy and the guardrail/peeking methodology are inlined or deferred by sibling-skill name rather than bundle paths, fitting anchor 4's minor-organization-gaps profile rather than 5.

Specificity

"Builds a per-experiment checklist and sign-off: pre-registered metric, power and guardrails, randomization unit and sample ratio mismatch checks, assignment, telemetry, peeking rules and novelty effects" enumerates the full concrete checklist scope plus a concrete artifact, matching the comprehensive-coverage anchor rather than the minor-gaps anchor at 4.

Completeness

Both parts are explicit: "Use when launching, auditing or governing an A/B test or online experiment design" answers when with concrete trigger phrases, and "Builds a per-experiment checklist and sign-off: …" answers what with itemized contents, matching the top anchor rather than 4 where the when could be more explicit.

Trigger Term Quality

"A/B test", "online experiment", "launching", "auditing", "governing" are natural phrases a user would say, but common synonyms such as "split test" or "experiment results" are absent, fitting the good-coverage-with-a-few-missing-terms anchor rather than the comprehensive one at 5.

Distinctiveness Conflict Risk

The validity-checklist/sign-off governance niche is mostly distinct, but "auditing" an experiment and general experiment-design triggers mildly overlap with closely related experiment-analysis skills, fitting anchor 4 rather than 5's minimal-conflict profile and clearly above 3's broad-overlap profile.