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maple-java-style

Java OpenTelemetry style for Maple: zero-code Java agent or manual SDK with OTLP HTTP exporters, inline endpoint + ingest key, semconv resource attributes, OTLP-bridged Logback / SLF4J logs.

65

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./skills/maple-java-style/SKILL.md
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.

The body is lean, executable, and well-organized with copy-paste-ready code for both the agent and manual SDK paths. The main gap is the absence of explicit validation/verification checkpoints that would confirm telemetry is actually flowing to Maple.

Suggestions

Add a short verification step after configuration — e.g., a command or check confirming traces/logs appear in Maple (a validate-then-proceed loop) — to lift workflow clarity.

Either show the minimal logback.xml snippet for the manual-SDK log bridging or keep the agent path as the clear default so the undescribed config isn't a gap.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — it never explains what OpenTelemetry, the JVM, or Spring are, and each section (agent, manual SDK, logs, spans, coexistence) earns its place with no padding.

3 / 3

Actionability

Provides fully executable, copy-paste-ready guidance: a curl + java -javaagent command, complete Maven dependency blocks, a full Telemetry.init() class using the real OTel SDK API, and a complete span-wrapping example with recordException/setStatus/end.

3 / 3

Workflow Clarity

The parallel paths (zero-code agent vs manual SDK) and within-branch steps are clearly sequenced and unambiguous, but there are no explicit validation/verification checkpoints (e.g., confirm traces reach Maple), leaving checkpoints implicit.

2 / 3

Progressive Disclosure

No bundle files exist and none are needed; the single self-contained SKILL.md is organized into clear, well-signaled sections (Zero-code, Manual SDK, Logs, Bounded business spans, Coexistence) with no nested references and easy navigation.

3 / 3

Total

11

/

12

Passed

Description

67%

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

The description is specific and well-scoped to a clear niche, but it lacks an explicit 'Use when...' trigger clause and leans heavily on technical jargon rather than the natural terms a user would say.

Suggestions

Add an explicit 'Use when...' clause stating when Claude should invoke this skill (e.g., 'Use when instrumenting a Java service for Maple telemetry, or when the user mentions OpenTelemetry, tracing, or logs in a Java/Maple context').

Soften jargon ('semconv', 'OTLP-bridged', 'OTLP HTTP exporters') or pair it with the natural terms users say ('traces', 'metrics', 'logs', 'instrument a Java app').

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'zero-code Java agent or manual SDK', 'OTLP HTTP exporters', 'inline endpoint + ingest key', 'semconv resource attributes', 'OTLP-bridged Logback / SLF4J logs' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It clearly answers 'what' but has no 'Use when...' clause or equivalent explicit trigger guidance, which per the guidelines caps completeness at 2 ('has what, but when is missing or only implied').

2 / 3

Trigger Term Quality

Natural terms like 'Java', 'OpenTelemetry', 'Maple', and 'logs' appear, but the description is dominated by technical jargon ('semconv', 'OTLP-bridged', 'OTLP HTTP exporters') and misses common user variations like 'traces'/'metrics'/'instrument', placing it at 'some relevant keywords but missing common variations' rather than a clean 3.

2 / 3

Distinctiveness Conflict Risk

Scoped to 'Java OpenTelemetry style for Maple' — a clear niche of language + vendor + telemetry with distinct triggers, unlikely to conflict with other skills.

3 / 3

Total

10

/

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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