News · 2026-07-08

A repo collecting every major AI's hidden system prompt is topping GitHub

A GitHub repository that collects the hidden system prompts of nearly every major AI product — Claude Fable 5, Opus 4.8, GPT-5.5, Gemini, Grok, Cursor, and more — surged up the trending charts, drawing well over a thousand new stars in a day. System prompts are the standing, usually-invisible instructions that shape how each model behaves, and seeing them side by side is both a transparency artifact and a practical crib sheet for anyone building AI agents. It headlines a week where agent infrastructure has taken over GitHub's trending page.

Key facts

• The system_prompts_leaks repo collects extracted system prompts from Claude, GPT-5.5, Gemini, Grok, Cursor and others.
• It gained on the order of 1,200 stars in a single day, near the top of GitHub Trending.
• Four of the top six trending repos this week are agent-infrastructure tools.
• Companions include addyosmani/agent-skills and iOfficeAI/OfficeCLI.

The background: every consumer AI product wraps its underlying model in a system prompt — a block of plain-language instructions the user never sees, telling the model who it is, what it may and may not do, how to format answers, and when to use tools. These prompts are quietly some of the most valuable engineering artifacts in the industry, because they encode hard-won lessons about steering model behavior. Labs generally keep them private. Enthusiasts extract them anyway, through careful probing, and repositories like this aggregate the results.

Why they matter to builders: for someone writing their own agent, a leaked system prompt from a top product is a working example of what good instructions look like — how a leading lab handles refusals, tone, tool use, and edge cases. It is the difference between guessing at prompt design and studying how the best-funded teams actually do it. That practical value is why the repo trends rather than just circulating as a curiosity.

The wider theme: this repo is one node in the week's dominant story on GitHub — tooling for AI agents. Alongside it, agent-skills libraries, an Office-document CLI that lets agents read and edit Word and Excel files, agent memory systems, and reliable-output layers like Microsoft's Flint chart language are all trending at once. The signal is that the builder community's attention has shifted from the models themselves to the scaffolding that makes them dependable in real agent workflows.

The honest caveat: these prompts are extracted, not officially published, so they may be incomplete, outdated, or subtly inaccurate — a probed prompt is a reconstruction, not a guaranteed verbatim copy, and products update them constantly. There is also an ethical and legal gray zone in aggregating a company's internal instructions, even when they are recoverable. Treat the repo as a useful, imperfect window into industry practice rather than an authoritative reference — and remember a system prompt is only one layer of how these products actually behave.

Primary source, verified: read the paper →

Ground Truth. (2026, July 8). A repo collecting every major AI's hidden system prompt is topping GitHub. Ground Truth. https://groundtruth.day/news/system-prompt-leaks-repo-tops-github.html

@misc{groundtruth:system-prompt-leaks-repo-tops-github,
  title  = {A repo collecting every major AI's hidden system prompt is topping GitHub},
  author = {{Ground Truth}},
  year   = {2026},
  month  = {jul},
  url    = {https://groundtruth.day/news/system-prompt-leaks-repo-tops-github.html}
}

Topics: github · system-prompts · ai-agents · open-source · transparency · developer-tools