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aws-observability

Builds, configures, debugs, and optimizes AWS observability with CloudWatch (Log Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT (AWS Distro for OpenTelemetry), AND enables/onboards services to Application Signals using ADOT auto-instrumentation SDKs. Covers Log Insights queries, alarms (metric, composite, anomaly), dashboards, custom metrics/EMF, X-Ray tracing and sampling, ADOT collector config, CloudTrail auditing, and end-to-end Application Signals enablement via ADOT SDKs (CloudWatch Observability EKS add-on, CloudWatch Agent IAM, OTLP endpoints, ServiceEvents, Dynamic Instrumentation), breakpoint and snapshot in Dynamic Instrumentation, live data capture in running service, debug without redeploying. Applies to CloudWatch, alarms, dashboards, EMF, X-Ray, traces, CloudTrail, ADOT, monitoring, synthetics/canaries, OR enabling/onboarding/instrumenting a service for Application Signals. Not for app logging or security threat detection.

76

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 an efficient, well-structured router that assumes Claude's competence and provides concrete per-need navigation with explicit safety gating for the destructive Dynamic Instrumentation path. Minor gap: no inline executable example, which is acceptable for a routing overview.

DimensionReasoningScore

Conciseness

The body is a lean overview consisting of Overview, Routing, and Files sections with no padding and no explanations of concepts Claude already knows; every line earns its place.

5 / 5

Actionability

The Routing and Files tables give concrete, per-need file pointers and named starting-point assets, providing mostly executable guidance for a router skill, though no inline runnable snippet is shown.

4 / 5

Workflow Clarity

The Routing table provides a clear decision sequence, and the destructive Dynamic Instrumentation row includes explicit validation/confirmation gating ("Read ... in full before acting", "Confirm with the user before any create/delete", observation → hypothesis → proposed action → expected result).

5 / 5

Progressive Disclosure

A clear overview points to well-signaled one-level-deep references; verified bundle paths (references/*.md, references/appsignals-guides/*, references/dynamic-instrumentation/*, assets/*) all resolve and are organized for easy navigation via the Files table.

5 / 5

Total

19

/

20

Passed

Description

100%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 comprehensive, specific, and written in third person with explicit trigger guidance and a negative boundary. It is somewhat verbose and repetitive (the "Covers..." sentence restates the opening), but verbosity is not penalized under these description dimensions.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("Builds, configures, debugs, and optimizes") plus concrete sub-features (metric/composite/anomaly alarms, EMF, breakpoints, snapshots, live data capture) for comprehensive coverage.

5 / 5

Completeness

Explicitly answers both "what" (builds/configures/debugs/optimizes and enables/onboards services) and "when" via the "Applies to ... OR ..." trigger clause, with a negative boundary ("Not for app logging or security threat detection").

5 / 5

Trigger Term Quality

Comprehensive natural keyword coverage including synonyms and product names — "CloudWatch, alarms, dashboards, EMF, X-Ray, traces, CloudTrail, ADOT, monitoring, synthetics/canaries" — matching terms users actually say.

5 / 5

Distinctiveness Conflict Risk

Clear AWS-observability niche with distinct triggers and an explicit exclusion clause, minimizing overlap with logging or security-threat-detection skills.

5 / 5

Total

20

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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