explaingit

ikeilo/leaked-llm-prompts

Analysis updated 2026-08-05 · repo last pushed 2026-07-24

Audience · generalComplexity · 1/5ActiveSetup · easy

TLDR

A collection of hidden system prompts reportedly extracted from major AI chatbots, showing the instructions companies use to shape AI behavior and boundaries before users ever type a message.

Mindmap

mindmap
  root((repo))
    What it does
      Collected AI system prompts
      Shows company guardrails
      Reveals AI behavior rules
    Content
      No commentary included
      Raw prompt files only
      Self-serve browsing
    Use cases
      Study prompt structures
      Learn from big players
      Understand AI transparency
    Audience
      Founders building AI
      Prompt engineers
      Curious tinkerers

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

Study how major AI companies structure their system prompts and handle edge cases.

USE CASE 2

Learn prompt engineering techniques by examining instructions used by real AI products.

USE CASE 3

Browse hidden AI guardrails to understand what goes on behind the scenes of chatbots.

What is it built with?

MarkdownText files

How does it compare?

ikeilo/leaked-llm-prompts00kaku/gallery-slider-block04amanrajj/netwatch
Stars0
LanguageJavaScriptRust
Last pushed2026-07-242021-05-19
MaintenanceActiveDormant
Setup difficultyeasyeasymoderate
Complexity1/52/53/5
Audiencegeneralgeneralops devops

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

How do you get it running?

Difficulty · easy Time to first run · 5min

Just browse the files, no installation or configuration needed.

In plain English

This project is a collection of "leaked" prompts, the hidden instructions that AI companies build into their chatbots behind the scenes. If you've ever wondered what ChatGPT or Claude is told to do before you even type your first message, this repo gathers examples of those instructions in one place for anyone to browse. Most AI assistants don't just wing it when you talk to them. Under the hood, they receive a detailed prompt from their creator, things like "you are a helpful assistant," "refuse certain types of requests," "format your answers this way," or "you do not have emotions." These system prompts shape the AI's personality, boundaries, and behavior. The prompts in this collection were reportedly extracted or reverse-engineered from various AI products, giving you a peek at the guardrails and instructions that companies put in place. This would be useful for a few types of people. A founder building an AI product might study these to see how major companies structure their prompts and handle edge cases. A prompt engineer or curious tinkerer could learn techniques for writing better instructions by seeing how the big players do it. And anyone interested in AI transparency might simply want to understand what's going on under the hood of tools they use every. The README doesn't go into detail about where each prompt came from, how they were obtained, or which specific AI products they belong to. It's essentially a raw collection with no framing, commentary, or usage guidance, so you'd need to open the files and judge for yourself what you're looking at and how credible each example is.

Copy-paste prompts

Prompt 1
Find the system prompt in this repo that handles refusals or safety boundaries and summarize how the company instructs the AI to respond to sensitive requests.
Prompt 2
Compare two prompts from this collection and identify the techniques each company uses to shape the AI's personality and behavior.
Prompt 3
Pick a system prompt from this repo and rewrite it for a new AI assistant that helps users with coding, keep the same structure but change the domain.
Prompt 4
List all the formatting rules and output constraints mentioned across the prompts in this collection and organize them into categories.

Frequently asked questions

What is leaked-llm-prompts?

A collection of hidden system prompts reportedly extracted from major AI chatbots, showing the instructions companies use to shape AI behavior and boundaries before users ever type a message.

Is leaked-llm-prompts actively maintained?

Active — commit in last 30 days (last push 2026-07-24).

How hard is leaked-llm-prompts to set up?

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

Who is leaked-llm-prompts for?

Mainly general.

Open on GitHub → Explain another repo

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