ai-instructions: Instructions file for GitHub Copilot

.github/instructions/ai-customization.instructions.md

ai-instructions ai-customization.instructions.md is an instructions file for GitHub Copilot from lsampaioweb/ai-instructions. It costs 1,504 tokens per session, scanned A, original, MIT.

A writing and structure guide for files that customize how an AI coding assistant behaves.

In plain words
What is it for?
Use it to review or write customization files, including their triggers, required inputs, rules, sections, and technical details.
Why use it?
It makes instructions easier for the assistant to find, follow, and resolve when rules overlap.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions subagents.

This is lsampaioweb/ai-instructions's own configuration. It tells GitHub Copilot how to work on ai-instructions itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-instructions configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/lsampaioweb/ai-instructions/main/.github/instructions/ai-customization.instructions.md
Clone the repo
git clone --depth 1 https://github.com/lsampaioweb/ai-instructions

Made for: GitHub Copilot.

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 ai-instructions ai-customization.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lsampaioweb/ai-instructions/ai-customization/github.svg)](https://agentmods.dev/instructions/lsampaioweb/ai-instructions/ai-customization)
Your own site
<a href="https://agentmods.dev/instructions/lsampaioweb/ai-instructions/ai-customization"><img src="https://agentmods.dev/badge/instructions/lsampaioweb/ai-instructions/ai-customization/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 ai-instructions ai-customization.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/lsampaioweb/ai-instructions/ai-customization"><img src="https://agentmods.dev/badge/instructions/lsampaioweb/ai-instructions/ai-customization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,504 This file is loaded in full into every session.
When invoked 1,504 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01504 $0.01504
Opus 5.5 $0.00602 $0.00602
Sonnet 5.5 $0.00301 $0.00301
Haiku 4.5 $0.00150 $0.00150

Measured 1mo ago against content hash a6a7e788dde3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-instructions ai-customization.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 1mo 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.

.github/instructions/ai-customization.instructions.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Customization Contract

Dependencies

  • Read the workspace's copilot-instructions.md before creating or changing an AI customization file.
  • Read the applicable domain instruction files before editing a file that they govern.
  • Treat a missing required instruction, reference, or template as a blocker. Do not silently bypass it or invent a substitute.

Scope and ownership

  • Keep workspace-wide behavior in copilot-instructions.md.
  • Keep reusable authoring and review rules for AI customization files in this contract.
  • Keep topic-specific implementation rules in the narrowest applicable instruction file.
  • Keep one canonical owner for each shared policy. Reference that owner instead of duplicating the policy in other files.
  • Limit each file to the behavior implied by its name, description, and routing pattern.

Metadata and routing

  • Give every customization file the metadata required by its file type.
  • Write description so the file's purpose and trigger conditions are discoverable.
  • Add argument-hint when a prompt requires user-provided input.
  • Use the narrowest applyTo pattern that covers the intended files without accidental matches.
  • Check routing patterns for overlap with existing files before adding or changing them.
  • Preserve technical literals exactly, including paths, commands, URLs, identifiers, configuration keys, and versions, unless they are demonstrably incorrect.

Authoring rules

  • Use direct, imperative language for mandatory behavior.
  • Mark optional behavior explicitly as optional.
  • Keep one enforceable behavior per rule or bullet.
  • Split compound rules when they contain independent decisions or conditions.
  • Keep each section focused on one purpose, with a heading that matches its contents.
  • Put rules in the order the governed workflow encounters them.
  • Keep instruction contracts product-agnostic and reusable across real projects. Never reference tutorial repos, sample module paths, learning-catalog numbers, or project-specific folders/networks from teaching material.
  • Remove filler only when doing so preserves the rule's meaning and enforceability.
  • Preserve existing behavior when improving wording unless the user explicitly approves a behavior change.
  • Do not turn a style preference or optional rewrite into a defect, requirement, or safety rule.

Read the full file on GitHub · 117 lines

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. 1mo ago Changed · +3 lines · +40 tokens per session a6a7e788dde3
  2. 1mo ago Changed · +57 lines · +482 tokens per session 73eb27117103
  3. 1mo ago Changed · +7 lines · +121 tokens per session db139e3a6337
  4. 2mo ago First seen · 50 lines · 861 tokens per session scan A 2e8cd57d434d

Subscribe to this mod's changes

ai-instructions ai-customization.instructions.md is an instructions file published in the GitHub repository lsampaioweb/ai-instructions (1 stars, last pushed 5d ago), licensed MIT. It adds 1,504 tokens to every session, about $0.0060 per session on Opus 5.5. 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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