distributed-tracing
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.
79
68%
Does it follow best practices?
Impact
99%
1.16xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/observability-monitoring/skills/distributed-tracing/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
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.
Why it was flagged
Potentially malicious external URL detected (high risk: 0.90). The skill runs kubectl to fetch and apply a remote manifest at runtime from https://github.com/jaegertracing/jaeger-operator/releases/download/v1.51.0/jaeger-operator.yaml, which causes execution of externally hosted configuration/code and is relied upon by the Jaeger setup.
- Repository
- wshobson/agents
- Commit
91fe43e
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.