DDMAL/Rodan GitHub Actions scorecard

Public GitHub Actions data, last 30 days. Updated .

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167 min/mo
recoverable (~22% of CI time) · across 8 patterns · ≈$1/mo
Estimated from wall-clock time · public repos pay $0, $ = private-repo equivalent
See all 8 fixes, each with the exact YAML ↓
34.2%
failure rate, 30d
14h 52m
avg time to recover from a failure
7 workflows · 76 runs (2.5/day) · 768 CI-min (wall-clock) · ≈$5 at private-repo rates (30d)

Where the minutes go (30d)

Build, push, and deploy images~434 min · 22 runs
CI test~136 min · 29 runs
Build and push images~114 min · 7 runs
or track on every push →

Waste detected

Biggest wins first, each with the exact config fix.

Docker build without layer cache · Build, push, and deploy images

~130 min/mo · ≈$1/mo

The Docker build has no layer cache, so every run re-executes every layer from scratch. Add `cache-from: type=gha` / `cache-to: type=gha,mode=max` to the build step.

- uses: docker/build-push-action@v6
  with:
    cache-from: type=gha
    cache-to: type=gha,mode=max

Full guide: how to fix this →

Docker build without layer cache · Build & push ci-jobs

~23 min/mo

The Docker build has no layer cache, so every run re-executes every layer from scratch. Add `cache-from: type=gha` / `cache-to: type=gha,mode=max` to the build step.

- uses: docker/build-push-action@v6
  with:
    cache-from: type=gha
    cache-to: type=gha,mode=max

Full guide: how to fix this →

No concurrency control · CI test

~14 min/mo

Add a `concurrency:` block keyed on branch to cancel superseded runs when devs push twice quickly.

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

Full guide: how to fix this →

Also found: 5 more config fixes with negligible recoverable minutes — timeouts, retention, path filters

No job timeout · Build, push, and deploy images

~0 min/mo

No job sets `timeout-minutes`, so a hung step can run to GitHub's 6-hour default. Add `timeout-minutes` to each job.

jobs:
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 15

Full guide: how to fix this →

cancel-in-progress on a deploy workflow · Build, push, and deploy images

~0 min/mo

This looks like a deploy/release workflow with `cancel-in-progress: true`, which cancels queued runs too — a queued deploy is silently dropped when a newer run arrives. Use a group-only `concurrency:` block on deploys.

concurrency:
  group: ${{ github.workflow }}
  # queued deploys run in order; none are dropped

Full guide: how to fix this →

No job timeout · Build & push ci-jobs

~0 min/mo

No job sets `timeout-minutes`, so a hung step can run to GitHub's 6-hour default. Add `timeout-minutes` to each job.

jobs:
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 15

Full guide: how to fix this →

No job timeout · CI test

~0 min/mo

No job sets `timeout-minutes`, so a hung step can run to GitHub's 6-hour default. Add `timeout-minutes` to each job.

jobs:
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 15

Full guide: how to fix this →

No job timeout · Create Release checklist

~0 min/mo

No job sets `timeout-minutes`, so a hung step can run to GitHub's 6-hour default. Add `timeout-minutes` to each job.

jobs:
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 15

Full guide: how to fix this →

Copy every fix as one block (4 snippets, annotated per workflow)
# Docker build without layer cache — applies to: Build, push, and deploy images, Build & push ci-jobs
- uses: docker/build-push-action@v6
  with:
    cache-from: type=gha
    cache-to: type=gha,mode=max

# No concurrency control — applies to: CI test
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

# No job timeout — applies to: Build, push, and deploy images, Build & push ci-jobs, CI test, Create Release checklist
jobs:
  build:
    runs-on: ubuntu-latest
    timeout-minutes: 15

# cancel-in-progress on a deploy workflow — applies to: Build, push, and deploy images
concurrency:
  group: ${{ github.workflow }}
  # queued deploys run in order; none are dropped

Each snippet is representative — merge into the named workflow files rather than pasting wholesale.

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