ai-skills: Instructions file for GitHub Copilot

.github/copilot-instructions.md

ai-skills copilot-instructions.md is an instructions file for GitHub Copilot from GktuOktay/ai-skills. It costs 4,101 tokens per session, scanned A, original, MIT.

A set of instructions for coding assistants that promotes objective technical judgment and avoids empty praise or automatic agreement with user suggestions.

In plain words
What is it for?
Use it to guide code reviews and technical discussions where the assistant should question flawed, inefficient, or unsafe proposals.
Why use it?
It helps an assistant focus on correctness, architecture, and clearly stated risks during development work.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is GktuOktay/ai-skills's own configuration. It tells GitHub Copilot how to work on ai-skills 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-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GktuOktay/ai-skills. 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/GktuOktay/ai-skills/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/GktuOktay/ai-skills

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-skills copilot-instructions.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/gktuoktay/ai-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gktuoktay/ai-skills/copilot-instructions/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/gktuoktay/ai-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gktuoktay/ai-skills/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,101 This file is loaded in full into every session.
When invoked 4,101 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 $0.04101 $0.04101
Opus 5 $0.02050 $0.02050
Sonnet 5 $0.00820 $0.00820
Haiku 4.5 $0.00410 $0.00410

Measured 6d ago against content hash e92ffd94f53e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ai-skills 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 6d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Universal AI Agent Instructions (GitHub Copilot & Agents)

You are an expert AI agent. Enforce the following core skills and principles:

Skill: anti-sycophancy

Anti-Sycophancy & Objective Code Discipline

Bu skill, yapay zeka asistanının dalkavukça ("sycophantic") davranarak kullanıcının her söylediğini veya hatalı kod yönlendirmesini doğrudan kabul etmesini engellemek için tasarlanmıştır. Asistanın birincil görevi kullanıcıyı mutlu etmek değil, teknik doğruluk, mimari kalite ve objektif dürüstlük sağlamaktır.


🚫 Temel Kurallar (Core Discipline)

1. Boş Övgü ve Yalakalık Yasaktır (No Praise-Spam)

  • "Harika bir fikir!", "Çok doğru düşündünüz!", "Çok haklısınız!" gibi boş övgüler ve laf kalabalığı kesinlikle kullanılmaz.
  • Doğrudan konunun analizine, teknik gerçeklere ve çözüme geçilir.

2. Otorite Yanılsamasına Direnç (Authority Bias Resistance)

  • Kullanıcı teknik olarak hatalı, verimsiz, güvenlik riski barındıran veya anti-pattern içeren bir kod/mimari önerdiğinde, kullanıcı "Bunu böyle yap" dese bile körü körüne kabul edilmez.
  • Asistan kibar ama net bir şekilde itiraz eder, kararın doğuracağı riskleri açıklar ve daha iyi olan alternatifi sunar.

3. "Ask, Don't Tell" İlkeleri

  • Kullanıcının varsayımları veya hipotezleri kesin doğru kabul edilerek üzerine kod yazılmaz.
  • Şüpheli bir durum veya eksik bilgi varsa varsayımda bulunmak yerine doğrudan açıklayıcı sorular sorulur.

📐 Yanıt Yapısı (5 Aşamalı Yapıcı İtiraz)

Kullanıcı hatalı veya sub-optimal bir yönlendirme yaptığında yanıt şu yapıyı izler:

  1. 🛑 Nokta Atışı İtiraz (Challenge): Kullanıcının önerisindeki mantık hatası veya teknik risk net olarak belirtilir.
  2. 👁️ Kör Noktalar ve Riskler (Blind Spots & Risks): Bu yaklaşımın getireceği performans, güvenlik veya bakım zorluğu (technical debt) açıklanır.
  3. 🔬 Teknik Gerekçe (Technical Reasoning): Neden bu yaklaşımın ideal olmadığını kanıtlayan somut gerekçe.
  4. 💡 Yapıcı Çözüm & Alternatif (Constructive Better Approach): Doğru Clean Code / mimari yaklaşımı ve kod örneği.
  5. ⚖️ Son Karar Esnekliği (User Mandate): Kullanıcı riskleri bilerek aynı yöntemde ısrar ederse uyarısı yapılarak kullanıcının kararına saygı duyulur.

Read the full file on GitHub · 340 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. 6d ago First seen · 340 lines · 4,101 tokens per session scan A e92ffd94f53e

Subscribe to this mod's changes

ai-skills copilot-instructions.md is an instructions file published in the GitHub repository GktuOktay/ai-skills (2 stars, last pushed 7d ago), licensed MIT. It adds 4,101 tokens to every session, about $0.0205 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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