Conciseness

Almost every sentence carries non-obvious expert judgment Claude cannot be relied on to know (the "how it lies" column, per-source bias table, anonymity guardrail mechanics), so it is not level 3's 'some unnecessary explanation.' But rhetorical flourishes ("the truth lives between them," "noise dressed as science") and time-sensitive threshold detail (Google's historical ~3,000/300 vs current ~200/2,000 DDA gating, not quarantined in a deprecated section) are minor instances of over-explanation that could be trimmed, keeping it below the lean 5 anchor.

Actionability

Highly executable instruction guidance: numbered triangulation steps with a source-of-truth dedup rule, decision tables by budget/paradigm/business type, exact survey wording, a referrer-exclusion list (accounts.google.com, checkout.stripe.com, localhost), the capture-phase link-decorator pattern with a concrete parameter (?metadata[ph_distinct_id]=<id>), and a copy-paste output-template. Per the scoring notes, the absence of code in an instruction-only skill is not penalized when guidance is this specific; it is not level 4 because the common cases are concretely covered, not hinted.

Workflow Clarity

The pillar fork is stated up front ("Most requests start with (A)"), and each multi-step process is numbered: identity-graph steps 1–3, the third-party stitch 1–3, triangulation 1–6. Explicit validation checkpoints appear at the risky points ("Audit first — don't rebuild what works," "near-zero numbers until the stitch is verified in prod," "Confirm before concluding") with an error-recovery loop (campaign-window fallback plus backfill when data is empty), and the output-format template acts as a closing checklist. This matches the 5 anchor rather than 4's 'minor validation gaps.'

Progressive Disclosure

All four references exist, are one level deep (references link only to external URLs, not to further local files), and each is purpose-signaled at the point of need ("For the model math, worked examples… see references/attribution-models.md"), which is above level 3. However, the 227-line body still inlines a full seven-row model-comparison table with platform-availability caveats and an eight-row external tools-registry table — content that could partially delegate to references — so it falls short of the 5 anchor's 'content appropriately split.'

Specificity

Concrete actions across both pillars: "figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools" plus the build track ("stitch my bookings to their source," "track conversions on a third-party domain," "first-party / self-hosted attribution"). Comprehensive coverage with no real gap, so it sits at the top anchor rather than level 4's 'minor gaps'.

Completeness

Explicitly answers both what (choose/interpret attribution models, reconcile conflicting numbers, instrument first-party attribution) and when ("When the user wants to…", "Also use when the user mentions…") with concrete trigger phrases throughout. Not level 4, because the when-clauses are fully explicit rather than merely present.

Trigger Term Quality

Extensive natural phrasings users would actually say: "my dashboards disagree," "Google/Meta says X but GA says Y," "what's my real CAC," "how did you hear about us," "dark social," "geo lift," "holdout test," "MMM," "first-touch vs last-touch." Synonyms and vernacular variants are covered, matching the comprehensive-coverage anchor; nothing common is missing.

Distinctiveness Conflict Risk

Clear niche (marketing attribution causality and reconciliation) with distinct triggers, and explicit boundary handoffs to neighbors: "For event tracking setup and UTMs, see analytics… For ad-platform pixels/CAPI… see conversion-tracking… For pipeline and CRM revenue reporting, see revops." Minimal risk of triggering for a wrong skill.