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otel-instrumentation

Configures trace spans, defines custom metrics, sets up log exporters, and optimizes sampling strategies for OpenTelemetry instrumentation. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.

Quality

95%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

93%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.

A well-crafted skill body: an overview-plus-reference-table design with a complete inline Node.js example, opinionated and security-aware sampling guidance, and a sequenced getting-started workflow ending in validation. The only notable gap is that error-recovery loops live in referenced rule files rather than inline. Bundle directories (references/, scripts/, assets/, rules/) are absent from the provided bundle, so referenced files could not be verified on disk.

Suggestions

Inline a brief 'if validation fails, check these common causes' loop (or a 3-item mini-checklist) in the Getting started step 5 so the validate-fix-retry cycle doesn't depend on opening the validation rule.

State up front in the Rules table or the intro that the telemetry rule is the required first read for all tasks, so readers who skip the table still hit the entrypoint.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — it never explains what OpenTelemetry or spans are, and the code example and sampling section carry non-obvious house rules (log-record exceptions instead of span.recordException, AlwaysOn rationale tied to the traceparent trust boundary) rather than general knowledge. The only trace of padding is the one-line 'Expert guidance' tagline, which is too minor to drop it from the top anchor.

5 / 5

Actionability

Guidance is fully executable: a copy-paste-ready Node.js span example covering the common case (attributes, status, error handling, trace/span correlation), the concrete env var OTEL_TRACES_SAMPLER=always_on, and numbered steps pointing to specific rule files. It is not 4 because no key execution detail is missing inline.

5 / 5

Workflow Clarity

The 'Getting started' section gives a clear 5-step sequence ending in an explicit validation step that references the validation checklist, so checkpoints are mostly present. It falls short of 5 because the validate-fix-retry feedback loop is deferred to the referenced validation rule rather than written inline, and the diagram/entrypoint routing assumes the reader lands on the telemetry rule first.

4 / 5

Progressive Disclosure

The body is a true overview: a well-organized table of 21 one-level-deep rule files, each with a one-line purpose and a marked Entrypoint, with language SDKs grouped under sdks/ and getting-started steps routing into the table. This matches the top anchor (clear overview, well-signaled one-level-deep references, easy navigation); no bundle files were provided to verify, but the structure as written is exemplary.

5 / 5

Total

19

/

20

Passed

Description

96%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.

An exemplary description: concrete capabilities covering all three signals, an explicit 'Use when' trigger clause with natural keywords including the OTel synonym, and a clear niche. The only deduction is minor overlap risk with sibling observability/collector skills via broad trigger terms.

DimensionReasoningScore

Specificity

It lists four concrete, parallel actions — 'Configures trace spans, defines custom metrics, sets up log exporters, and optimizes sampling strategies' — covering all three OTel signals plus sampling, which is comprehensive for this domain. It is not 4 because there are no coverage gaps across the skill's stated scope.

5 / 5

Completeness

Both halves are explicit: the 'what' is the four concrete capabilities, and the 'when' is 'Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.' This mirrors the rubric's top-anchor example pattern exactly.

5 / 5

Trigger Term Quality

Natural trigger terms are comprehensive: 'tracing', 'telemetry', 'observability', 'metrics collection', 'logging integration', 'instrumenting', plus both the full name 'OpenTelemetry' and the synonym 'OTel'. It is not 4 because the common user phrasings for this niche are present, including the abbreviation synonym.

5 / 5

Distinctiveness Conflict Risk

The OTel-instrumentation niche is clear and mostly distinct, but broad triggers like 'observability', 'metrics collection', and 'logging integration' could overlap with closely related skills — the body itself references a sibling otel-collector skill covering the sampling/collector side. This fits 4 ('mostly distinct; minor overlap risk with closely related skills') better than 5 ('minimal conflict risk').

4 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 31 missing, 14 deeper-than-1-level, 1 suspicious

Warning

Total

15

/

16

Passed

Repository

dash0hq/agent-skills

Path

skills/otel-instrumentation/SKILL.md

Reviewed

Table of Contents

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