Conciseness

The body is dense with operational facts Claude cannot know (dataset names, field names, metric names, apply commands) and explains no general concepts, matching anchor 5. The single redundancy is the opening line restating the frontmatter description, which is not enough to drop to anchor 4's 'several instances of over-explanation'.

Actionability

Copy-paste-ready commands ("AXIOM_API_TOKEN=xaat-... node infra/axiom/dashboards/apply.mjs --dry-run"), executable APL/MPL query examples, exact field and metric names, and concrete per-family monitor guidance fully match anchor 5. It is above anchor 4 because the examples cover the common dashboard, monitor, and query cases end to end.

Workflow Clarity

Query and dashboard workflows are clearly sequenced with explicit checkpoints (--dry-run before apply, "verify the dashboard loads and every chart uses the expected dataset", probe before widening time windows), matching anchor 4. It is not 5 because error-recovery feedback loops (e.g., what to do when dry-run or verification fails) are absent, and not 3 because validation checkpoints are explicit rather than missing.

Progressive Disclosure

Sections are well organized with a clear source-of-truth overview, but the skill exceeds 50 lines and inlines long reference lists (log/trace fields, metrics) that could live in a separate reference file, matching anchor 4. It is not 5 because there are no well-signaled one-level-deep references splitting the reference material, and not 3 because navigation is easy and nothing is buried.

Specificity

"creating or refining Axiom dashboards, monitors, notifiers, datasets, APL/MPL queries, or alert thresholds" lists several concrete capabilities across six asset types, matching anchor 4. It is not 5 because the action verbs are limited to create/refine (no export, audit, or removal actions), and not 3 because coverage goes well beyond 1-2 actions.

Completeness

"Maintain MoltNet Axiom observability assets" explicitly states what the skill does, and "Use when creating or refining Axiom dashboards, monitors, notifiers, datasets, APL/MPL queries, or alert thresholds for MoltNet services" gives concrete trigger phrases for when to use it, exactly matching anchor 5.

Trigger Term Quality

Terms like "Axiom dashboards", "monitors", "notifiers", "alert thresholds", and "observability" are natural phrases a user would say, giving good keyword coverage. It falls short of anchor 5 because common variations such as "alerts", "SLOs", or "logs/traces/metrics" are absent.

Distinctiveness Conflict Risk

The niche is clear ("MoltNet Axiom observability") with distinct triggers (Axiom, APL/MPL, notifiers) unlikely to collide with other skills. This matches anchor 5's clear-niche example and is clearly above anchor 4's overlap-risk example.