ansible-automation

ansible-automation is a skill for Claude Code, Codex from aj-geddes/useful-ai-prompts. It costs 33 tokens per session (551 once invoked), scanned A, original, MIT.

A guide to automating server setup, configuration, patching, application deployment, and other infrastructure work with Ansible playbooks, roles, and inventories.

In plain words
What is it for?
Use it to deploy applications, manage cloud instances and containers, administer databases, apply security updates, and coordinate multi-server or rolling deployments.
Why use it?
It replaces repetitive manual server changes with repeatable instructions that can be applied across multiple machines.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to deploy applications, manage cloud instances and containers, administer databases, apply security updates, and coordinate multi-server or rolling deployments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aj-geddes/useful-ai-prompts/ansible-automation
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.

Any agent
npx skills add aj-geddes/useful-ai-prompts --skill ansible-automation
Clone the repo
git clone --depth 1 https://github.com/aj-geddes/useful-ai-prompts

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ansible-automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/ansible-automation/github.svg)](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/ansible-automation)
Your own site
<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/ansible-automation"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/ansible-automation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ansible-automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/ansible-automation"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/ansible-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 551 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk warn 5 Mar 2026
How audits are shown
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 5.1 $0.00033 $0.00551
Opus 5 $0.00016 $0.00275
Sonnet 5 $0.00007 $0.00110
Haiku 4.5 $0.00003 $0.00055

Measured 12d ago against content hash 6970e3f522bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ansible-automation 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-config.sh), 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.

skills/ansible-automation/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ansible Automation

Table of Contents

Overview

Automate infrastructure provisioning, configuration management, and application deployment across multiple servers using Ansible playbooks, roles, and dynamic inventory management.

When to Use

  • Configuration management
  • Application deployment
  • Infrastructure patching and updates
  • Multi-server orchestration
  • Cloud instance provisioning
  • Container management
  • Database administration
  • Security compliance automation

Quick Start

Minimal working example:

# site.yml - Main playbook
---
- name: Deploy application stack
  hosts: all
  gather_facts: yes
  serial: 1  # Rolling deployment

  pre_tasks:
    - name: Display host information
      debug:
        var: inventory_hostname
      tags: [always]

  roles:
    - common
    - docker
    - application

  post_tasks:
    - name: Verify deployment
      uri:
        url: "http://{{ inventory_hostname }}:8080/health"
        status_code: 200
      retries: 3
      delay: 10
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Playbook Structure and Best Practices Playbook Structure and Best Practices
Inventory and Variables Inventory and Variables
Ansible Deployment Script Ansible Deployment Script
Configuration Template Configuration Template

Best Practices

✅ DO

  • Use roles for modularity
  • Implement proper error handling
  • Use templates for configuration
  • Leverage handlers for idempotency
  • Use serial deployment for rolling updates
  • Implement health checks
  • Store inventory in version control
  • Use vault for sensitive data

Read the full file on GitHub · 100 lines

Files

What ships with it

6 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. 12d ago First seen · 100 lines · 33 tokens per session scan A 6970e3f522bf

Subscribe to this mod's changes

ansible-automation is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 551 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens