Conciseness

The body is dense and imperative throughout — "Do not shell out to `git` from the running process", "skipping the SHA is fine, skipping the URL is not" — and adds only Maple-specific policy Claude would not know (session grouping by `maple_ai.session.id`, OpenInference double-recording, cost-attribute placement rules). Not a 5: the "Cost" paragraph is a long run-on covering many cases, and "do not invent parallel attributes" is stated twice (Naming and VCS sections).

Actionability

The business-span section gives a complete, copy-paste-ready TypeScript example with correct try/catch/finally structure, and later sections name exact keys (`vcs.repository.url.full`, `gen_ai.usage.cost`, `maple_ai.session.id`), env vars (`VERCEL_GIT_COMMIT_SHA`, `GITHUB_SHA`), and metric names (`llm.tokens.input`). Minor gaps keep it below 5: the exporter setup is deferred ("each language skill shows the exact shape") and the endpoint block is a placeholder (`maple_pk_…`) rather than executable init code.

Workflow Clarity

The content is organized by topic, not by an explicit onboarding sequence; the implied order (naming → endpoint/key → resource attributes → signals → LLM calls → smoke checks) must be inferred, and it references external workflow steps ("`maple-onboard` Step 0", "the Step 4 run") without mapping them. The single validation checkpoint — the smoke check — is real but conditional ("If it has none, skip it; the Step 4 run is enough") and has no fix-and-retry feedback loop.

Progressive Disclosure

A single, well-sectioned ~130-line file with clear headers and no nested or buried references; there are no bundle files (no references/, scripts/, or assets/), and nothing clearly belongs in a separate file at this size. Below 5 because it exceeds the under-50-line simple-skill threshold and the long LLM section (instrumentation choice, cost, conversations, redaction) is the one candidate that could split into a reference if the skill grows.

Specificity

The description enumerates seven concrete, domain-specific areas ("native APIs, the business-span pattern, signal quality, inline keys, VCS resource attributes, LLM calls, and smoke checks") that map one-to-one onto the body's sections. It falls short of the 5 anchor because these are topic nouns rather than verb-led concrete actions ("Extracts text…, fills forms…"), but well above the 3 anchor's "1-2 concrete actions".

Completeness

The "what" is clear (a Maple OTel onboarding style guide covering enumerated areas), but there is no "Use when…" clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. The "when" is at best weakly implied by the word "onboarding".

Trigger Term Quality

It includes natural terms a user would say — "OpenTelemetry", "onboarding", "LLM", "VCS", "smoke checks" — giving good keyword coverage. Not a 5 because common variations and synonyms users would actually utter are missing: "tracing", "instrumentation", "OTel", "observability", "telemetry".

Distinctiveness Conflict Risk

"General OpenTelemetry onboarding style for Maple" carves out a clear niche — Maple-specific OTel onboarding — with distinct trigger terms (OpenTelemetry, Maple, VCS, smoke checks) and minimal risk of firing for an unrelated skill.