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azure-monitor-opentelemetry-ts

Auto-instrument Node.js applications with distributed tracing, metrics, and logs.

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/azure-monitor-opentelemetry-ts/SKILL.md

The canonical home for this skill is azure-monitor-opentelemetry-ts in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

78%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 body is a strong, executable reference with concise code examples and clear ordering guidance for the core auto-instrumentation path. Its main weakness is monolithic inlining of advanced material with no progressive disclosure into reference files, plus a small amount of filler.

Suggestions

Move advanced sections (Manual Exporter Setup, Custom Span Processor, Custom Logs Ingestion, Key Types) into reference files and link to them from SKILL.md to improve progressive disclosure.

Remove or replace the vacuous 'When to Use' line ('This skill is applicable to execute the workflow or actions described in the overview') with concrete trigger guidance.

Add a verification checkpoint after setup (e.g., how to confirm traces/metrics are appearing in Application Insights) to strengthen workflow clarity.

DimensionReasoningScore

Conciseness

Largely lean code-driven content that assumes Claude's competence, with minor trimmable fluff such as the vacuous 'When to Use' sentence ('This skill is applicable to execute the workflow...').

4 / 5

Actionability

Provides copy-paste ready, executable TypeScript covering the common cases — auto-instrumentation, custom traces/metrics, manual exporters, sampling, and graceful shutdown.

5 / 5

Workflow Clarity

Critical ordering is explicitly flagged ('Call useAzureMonitor() BEFORE importing other modules') and shutdown is sequenced via SIGTERM, though no explicit validation/verification checkpoint confirms telemetry is actually flowing.

4 / 5

Progressive Disclosure

Well-organized with clear section headers, but ~316 lines inlines advanced/reference material (manual exporters, custom span processor, logs ingestion, Key Types) that would belong in separate reference files; no bundle files are provided.

3 / 5

Total

16

/

20

Passed

Description

55%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 concise and names concrete capabilities, but it omits any 'when to use' trigger guidance and the natural product/technology keywords (OpenTelemetry, Azure Monitor, Application Insights) that users would invoke. Adding a 'Use when...' clause with those terms would materially improve it.

Suggestions

Add a 'Use when...' clause naming natural triggers, e.g. 'Use when instrumenting Node.js apps for Azure Monitor / Application Insights, or when the user mentions OpenTelemetry, distributed tracing, or telemetry export.'

Include the product and library names users actually say ('Azure Monitor', 'Application Insights', 'OpenTelemetry') to improve trigger-term quality and distinctiveness.

Clarify the Azure-specific niche to reduce overlap with generic OpenTelemetry skills.

DimensionReasoningScore

Specificity

Names the Node.js telemetry domain and several concrete actions ('distributed tracing, metrics, and logs'), with only minor coverage gaps (exporters, ingestion, sampling not named).

4 / 5

Completeness

Clearly states what the skill does but provides no 'Use when...' trigger clause, which caps completeness at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Includes relevant telemetry keywords ('distributed tracing, metrics, logs') but omits the natural phrases users would actually say — 'OpenTelemetry', 'Azure Monitor', 'Application Insights'.

3 / 5

Distinctiveness Conflict Risk

Node.js plus telemetry is reasonably specific, but without the product name it could overlap with generic OpenTelemetry or competing telemetry skills.

3 / 5

Total

13

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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