ENGINEERING
Agent-Drafted Flaky-Test Cleanup Plans from JUnit Reports
Receives a JUnit results webhook, has the CEO agent classify each flaky failure by likely root cause, and files an owner-assigned ClickUp task with a proposed fix plan.
How it runs
The automated pipeline, trigger to output.
- TriggerJUnit report posted via webhookHTTP webhook
- LogicParse report and isolate non-deterministic failures
- ActionAgent classifies cause and drafts fix planOpenAI
- ActionResolve owner from CODEOWNERSGitHub
- OutputFile owner-assigned ClickUp cleanup task with planClickUp
What it does
This workflow adds reasoning to flaky-test triage. When your CI pipeline posts a JUnit report, an agent inspects the failure messages and stack traces, classifies the probable cause (timing, shared state, network, ordering), and drafts a concrete cleanup plan, then files an owner-assigned ClickUp task so the fix starts with a hypothesis instead of a blank page.
When to use it
Use it when raw flake counts are not enough and triagers waste time re-reading the same stack traces. It suits teams that want first-pass root-cause guesses and a starting fix plan attached to every quarantined test.
How it works
- 1An incoming webhook delivers the JUnit XML from a finished CI run.
- 2The flow parses the report and isolates non-deterministic failures (retried or intermittently failing cases).
- 3The agent reads each failure's message and trace, classifies the likely flake category, and proposes a remediation plan.
- 4It resolves the responsible owner from the repository's CODEOWNERS.
- 5It creates a ClickUp task per flake with the category, fix plan, and failing-test details assigned to that owner.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Connect ClickUpDocs + tasks + chats in one workspace.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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