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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.

66

Quality

78%

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Critical

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

Quality

Content

82%Weight 40%Scale 1-5

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

The content is lean, actionable, and well-structured, giving Claude everything needed to instrument a Java service for Maple without padding. The only meaningful gap is the absence of a progressive-disclosure split for the longer manual-SDK and span examples.

Suggestions

Show the omitted OtlpHttpLogRecordExporter / OtlpHttpMetricExporter builder lines (or a one-line snippet) so the manual SDK path is fully executable end-to-end.

Consider moving the longer Manual SDK and Bounded business spans code into a reference file linked from the body, to flatten the inline footprint.

Add a one-line "verify telemetry reaches Maple" validation step after the agent/SDK setup to strengthen the workflow checkpoint.

DimensionReasoningScore

Conciseness

The body is lean: no explanation of what OpenTelemetry is, minimal purposeful prose, and an efficient elision ("same shape for OtlpHttpLogRecordExporter and OtlpHttpMetricExporter") — every token earns its place.

5 / 5

Actionability

Provides copy-paste-ready bash and a concrete Java Telemetry class with Maven coordinates, but omits imports and elides the log/metric exporter builders, leaving minor gaps versus fully complete examples.

4 / 5

Workflow Clarity

Clear per-scenario sections (agent vs SDK vs logs vs business spans vs coexistence) with a "test the combination once before shipping" checkpoint; no destructive/batch operations so the validation cap does not apply, though the structure is reference-style rather than a numbered sequence.

4 / 5

Progressive Disclosure

Well-organized with clear section headers and self-contained, easily navigable content, but it is a flat single file (~110 lines) with no reference split, so it sits just below the well-signaled one-level-deep reference pattern of the top anchor.

4 / 5

Total

17

/

20

Passed

Description

75%Weight 40%Scale 1-5

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, distinctive, and dense with concrete capabilities, but it omits an explicit "Use when..." trigger clause, which caps completeness. Adding a usage-trigger sentence would lift it into the top band.

Suggestions

Append an explicit trigger clause, e.g. "Use when instrumenting a Java service for Maple tracing or logs."

Add a natural synonym such as "tracing" or "instrumentation" so users phrasing it differently still match.

Keep the current concrete action list — it already gives comprehensive capability coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "zero-code Java agent or manual SDK", "OTLP HTTP exporters", "inline endpoint + ingest key", "semconv resource attributes", "OTLP-bridged Logback / SLF4J logs" — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

The "what" is explicit and concrete, but there is no "Use when..." clause or equivalent explicit trigger guidance, so completeness is capped at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Strong natural terms a user would say (Java, OpenTelemetry, Maple, Java agent, SDK, Logback/SLF4J), but missing common synonyms a user might voice such as "tracing" or "instrumentation".

4 / 5

Distinctiveness Conflict Risk

The phrase "Java OpenTelemetry style for Maple" carves a clear niche (specific language + vendor + framework) with minimal overlap risk against other skills.

5 / 5

Total

17

/

20

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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