OpenTelemetry Collector deployment, instrumentation (Java/Python/Node.js/.NET/Go), and OTTL pipeline transforms for Coralogix — coralogix exporter config, Helm chart selection, Kubernetes topology, ECS/EKS/GKE deployments, SDK setup, APM transactions, and OTTL cardinality/PII/routing.
92
96%
Does it follow best practices?
Impact
92%
1.10xAverage score across 127 eval scenarios
Advisory
Suggest reviewing before use
{
"context": "Evaluating a Coralogix support response for this user question:\n\nI wrote a span filter for Kong using attributes[\"service.name\"] and it does not match anything. The metrics label is service_name, so I thought service.name was a span attribute. What scope should I use?",
"type": "weighted_checklist",
"checklist": [
{
"name": "mentions-service-name-1",
"description": "The response contains \"service.name\" (case-sensitive).",
"max_score": 3
},
{
"name": "mentions-service-name-2",
"description": "The response contains \"service_name\" (case-sensitive).",
"max_score": 3
},
{
"name": "resource-attributes-resource-scope",
"description": "The response matches the pattern: (?i)(resource\\.attributes|resource[- ]scope)",
"max_score": 3
},
{
"name": "explains-that-service-name-is-an-otel-resourc",
"description": "Explains that service.name is an OTel resource attribute, while service_name is a generated/normalized metric label. The response should explicitly name service_name when explaining why the metrics label is not a span attribute. It should say the filter belongs at resource scope, ideally naming resource.attributes[\"service.name\"] when giving concrete collector syntax. FAIL if it recommends attributes[\"service.name\"] as the correct span attribute lookup or treats service.name as a span attribute.",
"max_score": 2
}
]
}.claude-plugin
.codex-plugin
.cursor-plugin
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skills
opentelemetry
opentelemetry-collector
references
opentelemetry-instrumentation
opentelemetry-ottl