Borrowing it
Nothing to install: this file belongs to lsampaioweb/ai-instructions. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lsampaioweb/ai-instructions/main/.github/instructions/ansible-template.instructions.mdgit clone --depth 1 https://github.com/lsampaioweb/ai-instructionsWrote 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/instructions/lsampaioweb/ai-instructions/ansible-template)<a href="https://agentmods.dev/instructions/lsampaioweb/ai-instructions/ansible-template"><img src="https://agentmods.dev/badge/instructions/lsampaioweb/ai-instructions/ansible-template/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/instructions/lsampaioweb/ai-instructions/ansible-template"><img src="https://agentmods.dev/badge/instructions/lsampaioweb/ai-instructions/ansible-template.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 | $0.00277 | $0.00277 |
| Opus 5 | $0.00138 | $0.00138 |
| Sonnet 5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
ai-instructions ansible-template.instructions.md 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 5d 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 Jinja2 Template Contract
Naming Conventions
- Name template files after the destination filename and add the
.j2suffix (for examplesmb.conf.j2,sshd_config.j2).
Rules
- Use
{{ var | default('') }}for optional string variables. - Use
{{ var | default([]) }}for optional list variables. - Use
{# comment #}for comments that must not appear in the rendered file. - Use the target file format's native comment syntax for comments that must appear in the rendered output.
- Place
{% if %},{% for %},{% endif %}, and{% endfor %}tags on their own lines. - Use
loop.lastandloop.firstfor conditional rendering inside loops. - Resolve complex expressions in task
vars:before passing to the template (including lookups, jinja2 filters, or multi-step variable derivations).
Safety Guards
- Never embed vault secrets or credential literals in template content; reference them only through variables.
- Never call
{{ lookup() }}inside a template; resolve lookups in the calling task.
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.
- 5d ago First seen · 26 lines · 277 tokens per session scan A 49e5fde87df5
ai-instructions ansible-template.instructions.md is an instructions file published in the GitHub repository lsampaioweb/ai-instructions (1 stars, last pushed 16d ago), licensed MIT. It adds 277 tokens to every session, about $0.0014 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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