github-actions-builder

A guide for creating GitHub Actions workflows, which automatically run tasks such as tests, builds, and deployments when changes happen in a GitHub repository.

In plain words
What is it for?
Use it to set up or repair CI/CD pipelines, choose triggers, run jobs across a build matrix, cache dependencies, protect secrets, gate deployments, and share workflow logic.
Why use it?
It helps make automation faster, repeatable, and safer by handling caching, multiple runtime versions, secrets, permissions, and deployment controls.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jayrha/agentskills/github-actions-builder
Any agent
npx skills add JayRHa/AgentSkills --skill github-actions-builder
Clone the repo
git clone --depth 1 https://github.com/JayRHa/AgentSkills

Made for: Claude Code, Codex.

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,765 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00109 $0.01765
Opus 5 $0.00055 $0.00882
Sonnet 5 $0.00022 $0.00353
Haiku 4.5 $0.00011 $0.00177

Measured yesterday against content hash a0a6241e34ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-actions-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_workflow.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

github-actions-builder/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Actions Builder

Overview

Author production-grade GitHub Actions workflows that are fast, deterministic, and secure by default.

Keywords: github actions, workflow, ci, cd, ci/cd, .github/workflows, jobs, steps, runs-on, matrix, build matrix, strategy, fail-fast, cache, actions/cache, setup-node, setup-python, setup-go, secrets, GITHUB_TOKEN, permissions, OIDC, environments, reusable workflow, workflow_call, composite action, concurrency, artifacts, upload-artifact, deploy, release, pinning SHA, dependabot.

This skill covers the full lifecycle: choosing triggers, structuring jobs, caching dependencies correctly, fanning out across a matrix, passing secrets safely, gating deployments with environments, and factoring shared logic into reusable or composite workflows. Always prefer the patterns and pinning rules in references/best-practices.md and validate output structure with scripts/validate_workflow.py.

Workflow

  1. Clarify intent. Identify: project language/runtime, the events that should trigger CI (push, pull_request, tag, schedule, manual), and whether deployment is in scope. If the user only says "add CI", default to lint + test on push to the default branch and on pull_request.

  2. Pick triggers (on:). Use pull_request for validation and push (filtered to the default branch) to avoid double-runs on PR branches. Add workflow_dispatch for manual runs and tags filters for release pipelines. See the trigger matrix in references/best-practices.md.

  3. Set top-level defaults. Always add permissions: (least privilege, default contents: read) and concurrency: to cancel superseded runs. Pin a sensible timeout-minutes on every job.

  4. Structure jobs. Split lint, test, and build/deploy into separate jobs so failures are isolated and parallel. Use needs: to express ordering. Gate deploy jobs on if: github.ref == 'refs/heads/main' && github.event_name == 'push'.

  5. Add a matrix when relevant. Fan out across runtime versions and OSes with strategy.matrix. Set fail-fast: false for test matrices so one failure does not cancel the rest. Use include/exclude for targeted combinations. See examples/node-matrix-ci.md.

Read the full file on GitHub · 107 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 107 lines · 109 tokens per session scan A a0a6241e34ff

Subscribe to this mod's changes

github-actions-builder is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 1,765 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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