Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
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tessl review fix ./plugins/observability-monitoring/skills/distributed-tracing/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill includes a runtime command that fetches and applies a remote Kubernetes manifest from https://github.com/jaegertracing/jaeger-operator/releases/download/v1.51.0/jaeger-operator.yaml which would execute remote configuration/code in the cluster and is required for the Jaeger setup.
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