arthur-ai/arthur-engine/arthur-onboard-verify
Claude Code and agent skill by arthur-ai/arthur-engine
- community
Checking that the SKILL.md file is still in the repository.
Arthur onboarding sub-skill — Step 7: Verify that traces are flowing from the instrumented application to Arthur Engine. Reads credentials from .arthur-engine.env.
Install
npx vskill@latest install arthur-ai/arthur-engine/arthur-onboard-verifySKILL.md
Arthur Onboard — Step 7: Verify Instrumentation
Read State
Parse ARTHUR_ENGINE_URL, ARTHUR_API_KEY, ARTHUR_TASK_ID.
Tell the User to Run Their Application
Show the required env vars for their platform:
Then ask the user to run the app with inputs that resemble real production data if possible — for example, actual user queries, realistic documents, or representative prompts from their domain. Explain that the traces captured here will be used in the next step to auto-generate continuous evaluations tailored to their use case, so realistic inputs produce much better eval coverage than "hello world" or synthetic test strings. If they don't have real data handy, ask them to describe typical inputs so you can suggest a few representative examples together.
Poll for Traces
Once the user confirms they've run the app, poll for traces (up to 60 seconds):
Traces found: Confirm success and exit this skill.
No traces after 60s: Provide troubleshooting guidance:
- Check env vars are set correctly in the app
- Confirm the app made actual LLM calls during the test run
- Verify Arthur Engine is running:
curl $ARTHUR_ENGINE_URL/health - Check the app logs for errors related to OpenTelemetry or Arthur SDK
Offer to retry. This step is non-blocking.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingintegrations/claude-code-skills/arthur-onboard/arthur-onboard-verify/SKILL.md
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