Mindket

System Prompts Leaks

Newversion 1 · updated
Star71k

Overview

A curated collection of verbatim system instructions for popular AI models and chatbot platforms, providing insight into how AI agents are configured to perform tasks and follow rules.

System Prompts Leaks is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.

At a glance

Runs in
  • A web browser
  • A code editor
  • A local terminal
Start with
git clone https://github.com/asgeirtj/system_prompts_leaks.git
cd system_prompts_leaks

Platform

ClaudeAI chat
ChatGPTAI chat
GeminiAI chat
CursorCode editor

About

What it is

This collection provides the original system instructions for various AI models and chat platforms. It allows you to examine the internal configuration and rules that define how these AI assistants operate.

Who it suits

It is helpful for researchers, security analysts, and developers.

Where to use it

  • A web browser
  • A code editor
  • A local terminal

How to set it up

  1. Navigate to the project page on GitHub.
  2. Select a category from the directory list.
  3. Click on the file representing the AI model you want to examine.

Run these in a terminal:

# Copy the project to your computer
git clone https://github.com/asgeirtj/system_prompts_leaks.git
# Go into its folder
cd system_prompts_leaks

How to use it

You read these files to learn the specific phrasing and constraints applied to AI agents. There are no software tools to run, as this is a reference collection.

For newcomers and experts

If you are new to this, think of a system prompt as the master rule book for an AI. It tells the AI who it is and what it is allowed to do. To get started, open one of the files for a tool you use to see the instructions that shape its responses.

If you are an expert, this repository acts as a database for investigating model alignment and instruction tuning. It provides a view into the configurations companies use.

Good to know

  • The collection covers numerous models including Claude, ChatGPT, Gemini, Grok, Meta Muse, Perplexity, Cursor, and Mistral.
  • It includes additional files for agent skills and specific configuration modes.
  • The repository welcomes contributions through pull requests.

README and files

README

System Prompts Leaks

A curated collection of verbatim system instructions for popular AI models and chatbot platforms, providing insight into how AI agents are configured to perform tasks and follow rules.

Made by asgeirtj on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.

About

What it is: This collection provides the original system instructions for various AI models and chat platforms. It allows you to examine the internal configuration and rules that define how these AI assistants operate.

Who it suits: It is helpful for researchers, security analysts, and developers.

Where to use it:

  • A web browser
  • A code editor
  • A local terminal

How to set it up:

  1. Navigate to the project page on GitHub.
  2. Select a category from the directory list.
  3. Click on the file representing the AI model you want to examine.

How to use it: You read these files to learn the specific phrasing and constraints applied to AI agents. There are no software tools to run, as this is a reference collection.

For newcomers and experts: If you are new to this, think of a system prompt as the master rule book for an AI. It tells the AI who it is and what it is allowed to do. To get started, open one of the files for a tool you use to see the instructions that shape its responses.

If you are an expert, this repository acts as a database for investigating model alignment and instruction tuning. It provides a view into the configurations companies use.

Good to know:

  • The collection covers numerous models including Claude, ChatGPT, Gemini, Grok, Meta Muse, Perplexity, Cursor, and Mistral.
  • It includes additional files for agent skills and specific configuration modes.
  • The repository welcomes contributions through pull requests.

On GitHub, 5 November 2026

  • Stars: 70,777
  • Forks: 11,457
  • Watching: 753
  • Open issues and pull requests: 22
  • Language: Python
  • License: CC0-1.0
  • Topics: ai, ai-agents, ai-prompts, anthropic, chatbot, chatgpt, claude, claude-code, codex, cursor, gemini, generative-ai

Links

Get the code

git clone https://github.com/asgeirtj/system_prompts_leaks.git

Then follow the setup in its README. Nothing in this kit runs by itself.

Files
README.md  2 KB

1 file, 2 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-05

Compare with similar

Listed GitHub projects in the same category that share the most topics with this one.

ProductStarsActivityLanguageLicenseLast change
System Prompts Leaks This page71,042ActivePythonCC0-1.0
Hermes AgentShares chatgpt · anthropic · claude261,224——MIT—
SimShares chatbot · gemini · anthropic30,071——Apache-2.0—
GraphifyShares gemini · cursor · codex144,528ActivePythonApache-2.0
Claude-Mem by thedotmackShares anthropic · claude · ai116,866ActiveTypeScriptApache-2.0
pstackShares chatgpt · anthropic · claude4,132—JavaScriptMIT—
Numbers as Mindket last read them, from 2026-11-07 to 2026-11-14. Activity is read from each project’s last change on GitHub: Active within 30 days, Quiet within 180, Stale after that.

Reviews

No ratings yet

Write a review

No reviews yet.

What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

dev-completeClaude: System PromptsI compared the Claude Opus 4.8 and 5 system prompts, as well as the Claude Code Opus 4.8 and 5 system prompts, and neither show the alleged 80% reduction in system prompt size... Is the Claude Code system prompt leak incorrect? Do I not know what 80% looks like? Why such a large lie (so it seems)?…Dollyes github.com/asgeirtj/sys...10 likes@qzxcle$84r/ClaudeAIMiss Sonnet 4.6 Writing Style?reneberlinI obtained Claude Opus 5 system promptOk, you can already get them all! :) Enjoy the read, have fun! https://github.com/x1xhlol/system-prompts-and-models-of-ai-t... https://github.com/asgeirtj/system_prompts_leaks https://github.com/elder-plinius/CL4R1T4SOregon 🕎🎲This is an interesting repo, it came to my attention after a person claimed that these bots are purposely giving incomplete information so you are forced to interact with it longer github.com/asgeirtj/sys...2 likes@YeyeBitcoinGithub本周爆火热门项目分享,看看哪些Skill你用得上 👉01 meetily ⭐22.7k 本地 AI 会议助手,支持实时转录、说话人区分和总结。 🔗 https://t.co/D5hYUfeFhc 👉02 agent-skills ⭐76.8k 生产级 AI 编码技能库,覆盖测试、安全、性能和前端。 🔗 https://t.co/1YuzakO6j6 👉03 system_prompts_leaks ⭐55.8k 整理主流 AI 产品系统提示词,适合研究产品和 Prompt。 🔗 https://t.co/B5r0ZFooyZ 👉04 strix ⭐40.1k 开源…r/SillyTavernAIA medium-sized rant about preset/card formatting.incognito124I obtained Claude Opus 5 system prompt- https://github.com/elder-plinius/CL4R1T4S - https://github.com/asgeirtj/system_prompts_leaksDave SandersStumbled across this today, and for other devs using LLMS, this might be helpful for you: github.com/asgeirtj/sys...1 like@laogeai好奇 AI 产品背后怎么给模型下指令?有人把 Anthropic、OpenAI 的系统提示词全扒出来公开了 🤯 https://t.co/IjuzFX8jorr/Unrouted_AISystem Prompt Leak

Searched

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar projects

See all in Developer

Hermes Agent

NousResearch · Kit

Nous Research’s open source agent that you run in a terminal, in a desktop app or from a chat app. It keeps memory, writes skills from experience, runs schedul…

New261k

Graphify

graphify-labs · Skill

Converts codebases, documentation, and technical files into a searchable knowledge graph for AI coding assistants. It uses local AST parsing to map relationshi…

New145k

Claude-Mem by thedotmack

thedotmack · Kit

Alex Newman’s memory plugin for Claude Code and other coding agents. It records what the agent does in each session, turns that into short searchable notes and…

New117k