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.
npx agentmods add skills/ancoleman/ai-design-components/writing-github-actionsnpx skills add ancoleman/ai-design-components --skill writing-github-actionsgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ancoleman/ai-design-components/writing-github-actions)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/writing-github-actions"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/writing-github-actions.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.02878 |
| Opus 5 | $0.00025 | $0.01439 |
| Sonnet 5 | $0.00010 | $0.00576 |
| Haiku 4.5 | $0.00005 | $0.00288 |
Grade A, and why
writing-github-actions 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 2d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing GitHub Actions
Create GitHub Actions workflows for CI/CD pipelines, automated testing, deployments, and repository automation using YAML-based configuration with native GitHub integration.
Purpose
GitHub Actions is the native CI/CD platform for GitHub repositories. This skill covers workflow syntax, triggers, job orchestration, reusable patterns, optimization techniques, and security practices specific to GitHub Actions.
Core Focus:
- Workflow YAML syntax and structure
- Reusable workflows and composite actions
- Matrix builds and parallel execution
- Caching and optimization strategies
- Secrets management and OIDC authentication
- Concurrency control and artifact management
Not Covered:
- CI/CD pipeline design strategy → See
building-ci-pipelines - GitOps deployment patterns → See
gitops-workflows - Infrastructure as code → See
infrastructure-as-code - Testing frameworks → See
testing-strategies
When to Use This Skill
Trigger this skill when:
- Creating CI/CD workflows for GitHub repositories
- Automating tests, builds, and deployments via GitHub Actions
- Setting up reusable workflows across multiple repositories
- Optimizing workflow performance with caching and parallelization
- Implementing security best practices for GitHub Actions
- Troubleshooting GitHub Actions YAML syntax or behavior
Workflow Fundamentals
Basic Workflow Structure
name: CI
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- run: npm test
Key Components:
name: Workflow display nameon: Trigger events (push, pull_request, schedule, workflow_dispatch)jobs: Job definitions (run in parallel by default)runs-on: Runner type (ubuntu-latest, windows-latest, macos-latest)steps: Sequential operations (uses actions or run commands)
What ships with it
15 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.
- examples/basic-ci.yml 2.2 KB
- examples/composite-setup/action.yml 2.7 KB
- examples/matrix-build.yml 2.4 KB
- examples/monorepo-workflow.yml 4.6 KB
- examples/reusable-deploy.yml 4.5 KB
- examples/security-scan.yml 3.6 KB
- outputs.yaml 7.8 KB
- references/caching-strategies.md 15 KB
- references/composite-actions.md 18 KB
- references/marketplace-actions.md 2.1 KB
- references/reusable-workflows.md 18 KB
- references/security-practices.md 15 KB
- references/triggers-events.md 1.0 KB
- references/workflow-syntax.md 16 KB
- scripts/validate-workflow.sh 5.7 KB runs code
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.
- 2d ago First seen · 474 lines · 50 tokens per session scan A af94116c2cbc
writing-github-actions is a skill published in the GitHub repository ancoleman/ai-design-components (518 stars, last pushed 8mo ago), licensed MIT. It adds 50 tokens to every session and 2,878 once invoked, about $0.0003 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 2026-09-03.
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