System Prompts Leaks: AI System Prompts Collection
asgeirtj/system_prompts_leaksSystem Prompts Leaks is an AI system prompts collection on GitHub that gathers the extracted system prompt instructions behind popular AI products. Instead of a tool you run, it's a set of Markdown files documenting the hidden instructions attributed to Claude, ChatGPT, Gemini, Grok, Cursor, Copilot and more, organized by vendor.
Reach for this if you write prompts or build on top of LLMs and want to see how the big products actually steer their models, roughly the wording Anthropic, OpenAI, and Google appear to ship. Skip it if you need a canonical, vendor-verified source: these are collected and reverse-engineered prompts, so read them as informative reference, not ground truth.
The problem it solves
If you build with LLMs, the system prompt is the part you never see: the hidden instructions that shape tone, refusals, tool use, and output formatting. Vendors rarely publish these, so prompt engineers end up guessing at what makes a product behave the way it does. This repo pulls the extracted prompts into one place so you can read them side by side instead of chasing scattered tweets and gists.
What is it?
System Prompts Leaks is an AI system prompts collection: a CC0-licensed GitHub repo that documents the extracted system prompt instructions behind well-known AI products. It covers prompts attributed to Claude (including Claude Code), ChatGPT and Codex, Gemini, Grok, Cursor, GitHub Copilot, Perplexity and others, stored as per-vendor Markdown files. It is reference material to read, not a runnable tool, API, or library.
Why it's getting attention
The repo sits at roughly 56,000 stars, and the README says it was featured in The Washington Post in May 2026. The pull tracks the wider interest in prompt engineering and agent building: people want to read the actual instructions behind Claude Code, ChatGPT, and Gemini rather than theorize about them. The README's 'Recently Updated' table shows it adds new model versions as they ship, listing entries like GPT-5.6 and Claude Sonnet 5.
Key features
- ✓System prompts sorted by vendor: Anthropic, OpenAI, Google, xAI, Microsoft, Perplexity, Cursor, Meta, Mistral and more
- ✓Coverage of coding agents specifically, including Claude Code, Codex, Cursor, and GitHub Copilot, not only chat models
- ✓A 'Recently Updated' table in the README that tracks which prompts changed and on what date
- ✓Plain Markdown files you can read, search, and diff in the browser or after a clone
- ✓Extras beyond the main prompt: tool definitions, older model versions, and per-personality variants
- ✓CC0-1.0 (public domain dedication) license on the repository
Best use cases
- •Studying how shipping AI products phrase refusals, tool instructions, and formatting rules
- •Borrowing structure and patterns for your own system prompts and agent instructions
- •Comparing how a model's prompt appears to change between versions using the collected files
- •Teaching or writing about how LLM products are steered behind the scenes
How to install / try
There's nothing to install: it's a documentation repo, not a package. Read it directly on GitHub, or clone it with `git clone https://github.com/asgeirtj/system_prompts_leaks` to grep and diff the files locally. Everything is Markdown organized into per-vendor folders.
How to use
Open the vendor folder for the product you care about, for example the Anthropic folder for Claude prompts or OpenAI for ChatGPT and Codex, then read the Markdown file. The README's tables link straight to each prompt and flag recently updated ones. Since the files are plain text under CC0, you can copy passages, diff two versions, or search across the whole repo after cloning.
Strengths
- ✓One place to read the collected instructions behind many AI products, side by side
- ✓Broad coverage across vendors and into coding agents, not just the flagship chat models
- ✓Plain Markdown under CC0, so it's easy to search, diff, and reuse
- ✓Updated as new models ship, with a changelog-style table in the README
Limitations & risks
- △These are extracted and community-collected prompts, not vendor-published ones, so authenticity and exact wording can't be fully verified
- △System prompts change silently, so a file can be stale the moment a vendor updates its product
- △It's reference material, not runnable code: there's no tool, API, or library to integrate
- △Depth varies by product; some entries are full prompts while others are partial, older, or personality variants
Alternatives
Who should try it — and who should skip
Prompt engineers, agent builders, and researchers who want to see how shipping AI products are actually instructed, and who accept that these are collected rather than official prompts. If you need an authoritative, vendor-verified source for a paper, a compliance claim, or a product decision, treat this as a starting point and confirm against official docs.
Frequently asked questions
System Prompts Leaks is an AI system prompts collection on GitHub. It documents the extracted system prompt instructions behind products like Claude, ChatGPT, Gemini, and Grok, stored as per-vendor Markdown files you read rather than run.
Treat them as informative, not authoritative. They're extracted and community-collected, so exact wording and authenticity can't be fully verified, and any prompt can be out of date once a vendor changes its product.
The repository carries a CC0-1.0 (public domain) license, so the collected text is dedicated to the public domain per the repo. That covers reuse of the files; it doesn't verify that each prompt matches the vendor's live product.
The README says it's updated regularly and keeps a 'Recently Updated' table with dates, adding new model versions as they ship. Because prompts change quietly, the collection still lags whatever a vendor is running right now.