Conciseness

There is no educational filler, but the same governance rules are restated repeatedly: the ROI/ROAS non-computation boundary appears in Reads, Promotes, step 4, the STAR paragraph, and Next Best Skill, and the Retro Card gating conditions are stated three times (Done-when, step 8, and the 'For the Retro Card' paragraph). This matches 'mostly efficient but could be tightened' rather than score 2, since every sentence is operational rather than padded explanation of known concepts.

Actionability

Concrete guidance is present: eight numbered steps each mapped to a named template step, an executable connector command (python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/youtube.py" videos @creator --limit 20), and a worked example with a filled-in output table. It falls short of fully copy-paste-ready (anchor 5) because much of the executable fill-in detail is deferred to the external templates and several steps are stated as prohibitions rather than executable actions.

Workflow Clarity

The eight steps are clearly sequenced with an explicit dependency rule ("run Step 7 before populating or publishing Step 2 Conversions, Revenue...") and validation gates (measurement-protocol comparability bars, the renew/retest/retire decision gate, Unknown/NEEDS_INPUT fallbacks for missing data). It misses anchor 5 because the dependency flow is convoluted (build the Step 2 shell, then back-fill) and there are no error-recovery feedback loops beyond the fallback labels.

Progressive Disclosure

The body is a genuine overview that correctly delegates the eight fill-in templates to the real one-level-deep references/analysis-templates.md, with a labeled Reference Materials section describing each link. It stops short of anchor 5 because most cross-references (../../../references/skill-contract.md, ../../../references/measurement-protocol.md, scripts/connectors/README.md, and sibling SKILL.md paths) do not resolve within the actual bundle, which contains only references/analysis-templates.md.

Specificity

The description lists five concrete capabilities ("metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings") with comprehensive coverage of the skill's outputs. It matches the anchor for multiple specific concrete actions rather than the score-4 anchor, which expects minor gaps in coverage.

Completeness

It explicitly answers both questions: what it does ("produces metric scorecards vs target and benchmark... ranked learnings") and when to use it ("Use when the user asks to..."), with concrete trigger phrases and an explicit negative boundary ("Not for dollar-level return math — use roi-calculator"). This clearly matches the top anchor rather than the score-4 anchor where the 'when' could be more specific.

Trigger Term Quality

Natural quoted trigger phrases ("analyze influencer campaign performance", "compare influencers", "find what content worked") plus Chinese synonyms ("达人营销效果分析/投放复盘") give good coverage, but common English variations users might say — e.g. campaign recap, retro, post-mortem, or report — are absent. This sits between the good-coverage (4) and comprehensive-synonyms (5) anchors, closer to 4.

Distinctiveness Conflict Risk

The influencer-campaign-performance niche is clearly staked with distinct triggers, and the explicit de-confliction pointer ("Not for dollar-level return math — use roi-calculator") minimizes overlap risk with the closest sibling skill. It matches the clear-niche anchor, not the score-4 anchor with minor overlap risk.