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maple-nodejs-style

Plain Node.js (Express, Fastify, Hono, Bun) OpenTelemetry style for Maple: NodeSDK + --import bootstrap, native @opentelemetry/api call sites, inline endpoint + ingest key, OTLP HTTP exporters.

70

Quality

85%

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SKILL.md
Quality
Evals
Security

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tightly written, fully actionable Node.js OpenTelemetry skill: executable code throughout, no wasted tokens, and clean single-file organization. Its main gap is the absence of a verification checkpoint to confirm telemetry is actually reaching Maple.

Suggestions

Add an explicit validation step, e.g. after bootstrap check a trace arrives at the Maple UI or run a quick request and confirm logs carry a trace_id, so the workflow has a feedback loop.

Clarify the onboarding handoff: the 'MAPLE_KEY is set by maple-onboard skill' note would benefit from a one-line 'if missing, run maple-onboard first' checkpoint.

DimensionReasoningScore

Conciseness

Lean and efficient — it skips explaining what OpenTelemetry or the frameworks are and goes straight to executable bootstrap, rule, and handler code, with every line earning its place.

3 / 3

Actionability

Provides complete, executable TypeScript and a concrete bootstrap command ('node --import ./telemetry.js app.js'), plus copy-paste-ready handler and instrumentation snippets.

3 / 3

Workflow Clarity

The single bootstrap-then-run sequence is present, but there is no validation or verification checkpoint (e.g. confirming traces reach Maple), and these batch/deployment operations warrant a feedback loop per the scoring notes.

2 / 3

Progressive Disclosure

A short, well-organized single-file skill with clear sections (Bootstrap rules, Route handlers, Logs, Coexistence) and no bundle files — appropriate for a skill under 50 lines with no need for external references.

3 / 3

Total

11

/

12

Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A precise, technically concrete description that nails specificity and distinctiveness, but it omits any explicit 'Use when...' trigger guidance, so it only implies the activation conditions rather than stating them. Adding a when-to-use clause would round it out.

Suggestions

Append an explicit trigger clause, e.g. 'Use when instrumenting a Node.js (Express, Fastify, Hono, or Bun) service to send telemetry to Maple via OTLP.'

Keep the named framework list but surface the most common phrasing a user would say (e.g. 'tracing', 'logs', 'metrics to Maple') to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete, specific actions: 'NodeSDK + --import bootstrap', 'native @opentelemetry/api call sites', 'inline endpoint + ingest key', and 'OTLP HTTP exporters' — no vague language.

3 / 3

Completeness

Clearly answers 'what' but lacks an explicit 'when/Use when' trigger clause, which caps completeness at 2 per the judging guidelines.

2 / 3

Trigger Term Quality

Includes natural terms users would actually say — 'Node.js', 'Express, Fastify, Hono, Bun', 'OpenTelemetry', and 'Maple' — covering the relevant frameworks and the named platform.

3 / 3

Distinctiveness Conflict Risk

A narrow, well-defined niche (Maple + Node.js OpenTelemetry style) with distinct named frameworks makes it unlikely to trigger for the wrong skill.

3 / 3

Total

11

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MapleTechLabs/maple
Reviewed

Table of Contents

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