running-github-actions-efficiently SKILL.md skillA

running-github-actions-efficiently from kajisho5/ffmpeg-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kajisho5/ffmpeg-skill/running-github-actions-efficiently@git:20260906.24c1610

Pins git:20260906.24c1610 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kajisho5/ffmpeg-skill
Path
.claude/skills/github-actions/SKILL.md
Versions recorded
1
Latest version
git:20260906.24c1610, committed Sep 6, 2026
Size
13,202 bytes
Repository stars
2,026
License
MIT

Cut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pull_request double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7. Use when CI is burning included minutes, when runs feel slow, when setting up a new repo's workflows, or when reviewing an existing workflow for waste.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Running GitHub Actions Efficiently

Actions minutes on **private** repos bill against a monthly included quota; public
repos are free. So cost concentrates in private repos, and a handful of workflows
usually dominate the bill. This skill is the checklist for finding and fixing that
waste. Every fix below preserves what CI actually verifies — none of them trade
away coverage.

## First, know the one number that dominates everything

Minutes are billed **per job**, rounded up to the minute, times a **runner-OS
multiplier**:

| Runner | Multiplier |
|--------|-----------|
| Linux (`ubuntu-*`) | **1x** |
| Windows (`windows-*`) | **2x** |
| macOS (`macos-*`) | **10x** |

A one-minute macOS job costs the same as ten Linux minutes. This single fact
reorders every optimization: **a repo with a few macOS jobs can outspend a repo
with ten times as many Linux jobs.** Before anything else, find your macOS jobs
and ask of each: does this step genuinely need macOS?

- Xcode / Apple-platform builds and tests (`xcodebuild`): yes, macOS is required.
- Linters and formatters (even Swift ones like SwiftLint/SwiftFormat), pure
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kajisho5/ffmpeg-skill/running-github-actions-efficiently@sha256:2e5d7039e1f8cd85

The line at the top of this page pins the label git:20260906.24c1610, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rrlfr2bmpugkaimn.svg)](https://markdownregistry.com/a/art_rrlfr2bmpugkaimn)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 6, 2026.

versioncommittedcommitsizeaudit
git:20260906.24c1610 latest2026-09-06 24c1610 13,202 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13202 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

kajisho5/ffmpeg-skill · 2,026 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rrlfr2bmpugkaimn
GET https://markdownregistry.com/api/v1/resolve?ref=kajisho5/ffmpeg-skill/running-github-actions-efficiently
GET https://markdownregistry.com/api/v1/blob/2e5d7039e1f8cd85816b82147be001fe66a0ad092bbcfb573c52591ee5c17314

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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