PROJECT MANAGEMENT

Mid-sprint scope-creep guard from GitHub issues

When a new issue is added to the current sprint milestone in GitHub, it checks whether mid-sprint additions have pushed total scope beyond the original commitment and alerts…

CategoryProject Management
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub issue added to active milestoneGitHubGitHub
  • ActionRead milestone issues with labels and added datesGitHubGitHub
  • LogicSeparate kickoff baseline from post-start additions
  • LogicBudget check: total scope vs. commitment + buffer
  • OutputPost scope-creep alert to DiscordDiscordDiscord

What it does

It watches the active GitHub milestone and, each time an issue is added after the sprint started, recalculates total scope against the baseline captured at sprint kickoff. When mid-sprint additions push scope past the committed budget, it posts a scope-creep alert naming the newly added items.

When to use it

Use it when scope quietly grows after a sprint is committed and the team only realizes at the end that they were set up to spill. This makes every late addition visible against the original plan in real time.

How it works

  1. 1An issue-added-to-milestone event in GitHub triggers the run.
  2. 2It reads the milestone's full issue list with labels and added dates.
  3. 3It separates issues present at kickoff from those added after the sprint start date.
  4. 4A budget check compares current total scope against the baseline commitment plus an allowed buffer.
  5. 5If within budget, it logs and exits; if over, it compiles the offending additions.
  6. 6It posts a scope-creep alert to the team Discord channel with the items and the overage.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect DiscordCommunity channels + voice + bots.
  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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