Apply Skill Optimization workflow (SnailSploit/Claude-Red)
The Apply Skill Optimization workflow from SnailSploit/Claude-Red, 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 Apply Skill Optimization workflow from the SnailSploit/Claude-Red repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
workflow (.yml)
name: Apply Skill Optimization
on:
issue_comment:
types: [created]
jobs:
apply:
if: >
github.event.issue.pull_request &&
contains(github.event.comment.body, '/apply-optimize')
runs-on: ubuntu-latest
permissions:
pull-requests: write
contents: write
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: tesslio/skill-review-and-optimize@bff9490027d60847df6494fdac7dccfb3ad82948
with:
mode: apply
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Apply Skill Optimization on: issue_comment: types: [created] jobs: apply: timeout-minutes: 30 if: > github.event.issue.pull_request && contains(github.event.comment.body, '/apply-optimize') runs-on: latchkey-small permissions: pull-requests: write contents: write steps: - uses: actions/checkout@v4 with: fetch-depth: 0 - uses: tesslio/skill-review-and-optimize@bff9490027d60847df6494fdac7dccfb3ad82948 with: mode: apply
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.