Ross ROSS = Recommend OSS · open-source software intelligence for agents

x1xhlol/system-prompts-and-models-of-ai-tools resource

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models observed · 2026-08-28

github.com/x1xhlol/system-prompts-and-models-of-ai-tools · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

64/100

  • Activity 97
  • Release rhythm 35
  • Longevity 39

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 546
  • days_rel: n/a
  • days_push: 22
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

143156 stars · 34849 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of leaked and open-sourced system prompts, internal tools, and AI model specifications from popular AI products like Cursor, Devin, Lovable, Windsurf, and v0. It serves as a reference resource for studying how commercial AI coding assistants and agents are instructed.

Use cases

  • study how AI coding assistants structure their system prompts
  • research prompt engineering patterns used by commercial AI agents
  • compare system prompt designs across AI tools like Cursor and Devin
  • learn techniques for building AI agent instructions
  • analyze how AI products define tool usage and guardrails
  • find reference prompts for designing your own AI assistant

When to choose

  • you want to study real-world system prompts from popular AI products
  • you're designing prompts for an AI coding agent or assistant
  • you're researching prompt engineering and agent architecture patterns

When to avoid

  • you need production-ready code or a usable library
  • you want legally licensed prompts for direct reuse in your product
  • you need up-to-date official documentation rather than leaked snapshots

Facets

dataset · maturity active

prompt-engineering developer-tools artificial-intelligence large-language-models developer-tools cross-platform system-prompts leaked-prompts ai-coding-tools reference-collection prompt-extraction ai-agents

1 source

Member repositories

RepositoryRoleHealth v2
x1xhlol/system-prompts-and-models-of-ai-toolsmain64

For agents

markdown · JSON · MCP: product_card(name="x1xhlol/system-prompts-and-models-of-ai-tools")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem