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dtrail/system_prompts_leaks

Analysis updated 2026-05-18

0JavaScriptAudience · researcherSetup · easy

TLDR

A regularly updated archive of captured system prompts, the hidden instructions behind ChatGPT, Claude, Gemini, Grok, and other AI tools.

Mindmap

mindmap
  root((system prompt leaks))
    What it does
      Captured system prompts
      Organized by company
      Recently updated table
    Tech stack
      Markdown files
    Use cases
      Study AI tool instructions
      Compare model versions
      Research and journalism
    Audience
      Researchers
      AI enthusiasts

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Read a specific AI product's captured system prompt to understand its hidden rules and tool access

USE CASE 2

Compare an official published system prompt against a community captured version

USE CASE 3

Track when a new model's system prompt was added using the recently updated table

USE CASE 4

Use the collection as source material for research or journalism about how AI chatbots are instructed

What is it built with?

Markdown

How does it compare?

dtrail/system_prompts_leaks00kaku/gallery-slider-block3rd-eden/ircb.io
Stars0
LanguageJavaScriptJavaScriptJavaScript
Last pushed2021-05-192016-11-16
MaintenanceDormantDormant
Setup difficultyeasyeasyeasy
Complexity2/52/5
Audienceresearchergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

This repository is a collection of system prompts, the hidden instructions an AI chatbot is given before it ever sees your first message, captured word for word from tools people actually use. It covers products from Anthropic such as Claude, Claude Code, and Claude Design, from OpenAI such as ChatGPT and Codex, from Google such as Gemini and Antigravity, along with xAI's Grok, Perplexity, GitHub Copilot, Cursor, VS Code, DeepSeek, Kimi, and several smaller tools. The files are organized into folders by company or product, each holding markdown files with the prompt text for a specific model or version. A table at the top of the README tracks what was added most recently, so you can see, for example, when a new Claude Code system prompt or a Perplexity prompt was captured. Some entries also link to an official published version alongside the captured one, for comparison. According to the README, the collection has been referenced by outside coverage, including an interactive story from The Washington Post and a data dashboard built by a European policy research group, both of which used these captured prompts to illustrate what instructions sit behind a chatbot's replies. This is a documentation project rather than a piece of software. There is nothing to install or run: the value is in reading the prompt files themselves to understand how a given AI product is instructed to behave, what tools it has access to, and what rules it follows before responding to a user. Contributions are welcome through pull requests, and the collection is described as updated regularly as new models and tools are captured.

Copy-paste prompts

Prompt 1
Summarize the differences between the Claude Code system prompt for Sonnet 5 and Opus 4.8 in this repo
Prompt 2
Read Anthropic/claude-design.md from this repo and explain what tools and skills Claude Design has access to
Prompt 3
Compare the ChatGPT and Gemini system prompts in this repo and list the biggest behavioral differences
Prompt 4
Find the most recently added system prompt in this repo's README table and summarize what it covers

Frequently asked questions

What is system_prompts_leaks?

A regularly updated archive of captured system prompts, the hidden instructions behind ChatGPT, Claude, Gemini, Grok, and other AI tools.

What language is system_prompts_leaks written in?

Mainly JavaScript. The stack also includes Markdown.

How hard is system_prompts_leaks to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is system_prompts_leaks for?

Mainly researcher.

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