TICKET MANAGEMENT

ClickUp bug repro scorer with comment-back gate

Scores every new ClickUp bug task for reproducibility and, when repro steps are missing, posts a templated comment asking the reporter for them instead of assigning to engineering.

CategoryTicket Management
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew bug task created in ClickUp triage listClickUpClickUp
  • ActionScore reproducibility and detect missing fieldsOpenAI
  • LogicBranch on score vs. threshold
  • ActionComment asking reporter for missing repro stepsClickUpClickUp
  • OutputAssign ready bugs to engineeringClickUpClickUp

What it does

Every time a bug task lands in your ClickUp triage list, this workflow reads the description and grades how reproducible it is. Bugs with clear steps, expected vs. actual behavior, and environment details get assigned straight to engineering. Bugs missing those pieces get a polite, specific comment asking for exactly what's absent — and stay parked until the reporter responds.

When to use it

Use it when your bug backlog is clogged with vague reports like "it's broken" that eat engineering triage time. It enforces a reproducibility bar at intake without a human gatekeeper.

How it works

  1. 1A new task created in the ClickUp bug list fires the trigger.
  2. 2OpenAI scores the description on a 0-100 reproducibility scale and returns which required fields are missing (steps, expected, actual, environment).
  3. 3A logic branch checks the score against your threshold.
  4. 4If below threshold, the workflow posts a ClickUp comment listing the specific missing details and tags the reporter.
  5. 5If at or above threshold, it assigns the task to the engineering team and moves it to the triage-ready status.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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