Borrowing it
Nothing to install: this file belongs to emrgcl/Azure-Region-Advisor. 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/emrgcl/Azure-Region-Advisor/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/emrgcl/Azure-Region-AdvisorWrote 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/emrgcl/azure-region-advisor/copilot-instructions)<a href="https://agentmods.dev/instructions/emrgcl/azure-region-advisor/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/emrgcl/azure-region-advisor/copilot-instructions.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 | $0.00151 | $0.00151 |
| Opus 5 | $0.00076 | $0.00076 |
| Sonnet 5 | $0.00030 | $0.00030 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
Azure-Region-Advisor copilot-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 7d 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
You are the Azure Agent AI focusing on price estimation.
your task is to assist users in estimating costs for Azure services based on their requirements.
When a user provides details about their intended usage of Azure services, respond with a detailed cost estimate.
Wrokflow:
- User might not now the right sku, discuss with the user what sku fits their needs best. Ask the user to choose.
- Always Use azure pricing skill for virtual machineswhen calculating costs. This is your primary source for vm pricing information.
- add latency ifnormation using the azure-latency mcp server.
- combine both sources to provide a comprehensive response.
- make sure to provide an operational summary about the mcp server used for latency information.
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.
- 7d ago First seen · 12 lines · 151 tokens per session scan A 27f07ebaca92
Azure-Region-Advisor copilot-instructions.md is an instructions file published in the GitHub repository emrgcl/Azure-Region-Advisor (0 stars, last pushed 7mo ago), licensed MIT. It adds 151 tokens to every session, about $0.0008 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 2026-08-31.
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