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 skills add G1Joshi/Agent-Skills --skill ansiblegit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/ansible)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/ansible"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/ansible/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.
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/ansible"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/ansible.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00018 | $0.00386 |
| Opus 5 | $0.00009 | $0.00193 |
| Sonnet 5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
ansible 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 9d 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.
What it actually says
Ansible
Ansible is an agentless automation tool. It handles Configuration Management (installing Nginx, editing configs). 2025 sees the Automation Platform 2.5 unified UI and AI Lightspeed assistance.
When to Use
- Configuration Mgmt: Terraform creates the VM, Ansible installs the software inside it.
- Agentless: No software to install on targets. Needs only SSH.
- Network Automation: Configuring Routers/Switches.
Quick Start
# playbook.yml
- name: Configure Webservers
hosts: web
become: true
tasks:
- name: Install Nginx
ansible.builtin.apt:
name: nginx
state: present
- name: Start Service
ansible.builtin.service:
name: nginx
state: started
Core Concepts
Inventory
List of hosts (hosts.ini or YAML). Can be dynamic (AWS plugin).
Playbooks
YAML files defining the desired state.
Roles / Collections
Reusable units of code. Download from Ansible Galaxy.
Best Practices (2025)
Do:
- Use Collections: The modern packaging format.
ansible.builtinis better than short modules. - Use
ansible-lint: Enforce best practices. - Idempotency: Ensure running a playbook twice produces the same result without errors.
Don't:
- Don't use
shellmodule: Unless absolutely necessary. Use specific modules (user,file,apt) for key tasks.
References
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.
- 9d ago First seen · 64 lines · 18 tokens per session scan A 229eb8027c31
ansible is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 386 once invoked, about $0.0001 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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