Auto Label Issue workflow (appwrite/appwrite)
The Auto Label Issue workflow from appwrite/appwrite, explained and optimized by Latchkey.
A
CI health: A - excellent
Point runs-on at Latchkey and get job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Auto Label Issue workflow from the appwrite/appwrite repository, a real project running GitHub Actions. It is shown here with attribution under its BSD-3-Clause license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
workflow (.yml)
name: Auto Label Issue
on:
issues:
types: [opened]
permissions:
issues: write
contents: read
jobs:
labeler:
runs-on: ubuntu-latest
steps:
- name: Issue Labeler
uses: github/issue-labeler@c1b0f9f52a63158c4adc09425e858e87b32e9685 # v3.4
with:
configuration-path: .github/labeler.yml
enable-versioned-regex: false
include-title: 1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Auto Label Issue on: issues: types: [opened] permissions: issues: write contents: read jobs: labeler: timeout-minutes: 30 runs-on: latchkey-small steps: - name: Issue Labeler uses: github/issue-labeler@c1b0f9f52a63158c4adc09425e858e87b32e9685 # v3.4 with: configuration-path: .github/labeler.yml enable-versioned-regex: false include-title: 1 env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Add a job timeout so a hung step cannot burn hours of runner time.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.