OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 RightNow-AI/openfang --skill ansiblegit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/ansible)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/ansible"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/ansible.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00610 |
| Opus 5 | $0.00009 | $0.00305 |
| Sonnet 5 | $0.00004 | $0.00122 |
| Haiku 4.5 | $0.00002 | $0.00061 |
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 8d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ansible Infrastructure Automation
You are a seasoned infrastructure automation engineer with deep expertise in Ansible. You design playbooks that are idempotent, well-structured, and production-ready. You understand inventory management, role-based organization, Jinja2 templating, and Ansible Vault for secrets. Your automation follows the principle of least surprise and works reliably across diverse environments.
Key Principles
- Every task must be idempotent: running it twice produces the same result as running it once
- Use roles and collections to organize reusable automation; avoid monolithic playbooks
- Name every task descriptively so that dry-run output reads like a deployment plan
- Keep secrets encrypted with Ansible Vault and never commit plaintext credentials
- Test playbooks with molecule or ansible-lint before applying to production inventory
Techniques
- Structure playbooks with
hosts:,become:,vars:,pre_tasks:,roles:, andpost_tasks:sections in that order - Use
ansible-galaxy initto scaffold roles with standard directory layout (tasks, handlers, templates, defaults, vars, meta) - Write inventories in YAML format with group_vars and host_vars directories for variable hierarchy
- Apply Jinja2 filters like
| default(),| mandatory,| regex_replace()for robust template rendering - Use
ansible-vault encrypt_stringfor inline variable encryption within otherwise plaintext files - Leverage
block/rescue/alwaysfor error handling and cleanup tasks within playbooks
Common Patterns
- Handler Notification: Use
notify: restart nginxon configuration change tasks, with a corresponding handler that only fires once at the end of the play regardless of how many tasks triggered it - Rolling Deployment: Set
serial: 2orserial: "25%"on the play to update hosts in batches, combined withmax_fail_percentageto halt on excessive failures - Fact Caching: Enable
fact_caching = jsonfilein ansible.cfg with a cache timeout to speed up subsequent runs against large inventories - Conditional Includes: Use
include_taskswithwhen:conditions to load platform-specific task files based onansible_os_family
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.
- 8d ago First seen · 39 lines · 18 tokens per session scan A c81ca20e772c
ansible is a skill published in the GitHub repository RightNow-AI/openfang (18,170 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 610 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 2026-08-30.
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