Screenshot to Code is an AI application that turns screenshots, mockups, Figma designs, and screen recordings into functional website code for stacks including HTML, Tailwind, React, Vue, Bootstrap, and Ionic. It is for developers and designers who want to turn visual references into working prototypes, either through the hosted app or a locally run React/Vite and FastAPI application. The catalogue instructions help agents operate this screenshot-to-code workflow.
Borrowing it
Nothing to install: this file belongs to abi/screenshot-to-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abi/screenshot-to-code/main/AGENTS.mdgit clone --depth 1 https://github.com/abi/screenshot-to-codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/abi/screenshot-to-code/agents-md)<a href="https://agentmods.dev/instructions/abi/screenshot-to-code/agents-md"><img src="https://agentmods.dev/badge/instructions/abi/screenshot-to-code/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/abi/screenshot-to-code/agents-md"><img src="https://agentmods.dev/badge/instructions/abi/screenshot-to-code/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00839 | $0.00839 |
| Opus 5.5 | $0.00336 | $0.00336 |
| Sonnet 5.5 | $0.00168 | $0.00168 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
screenshot-to-code AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Agent Instructions
Python environment:
- Always use the backend Poetry virtualenv (
backend-py3.10) for Python commands. - Preferred invocation:
cd backend && poetry run <command>. - If you need to activate directly, use Poetry to discover it in the current environment:
cd backend && poetry env activate(then run thesource .../bin/activatecommand it prints)
Testing policy:
- Always run backend tests after every code change:
cd backend && poetry run pytest. - Always run type checking after every code change:
cd backend && poetry run pyright. - Type checking policy: no new warnings in changed files (
pyright).
Frontend
- Frontend:
cd frontend && pnpm lint
If changes touch both, run both sets.
Prompt formatting
- Prefer triple-quoted strings (
"""...""") for multi-line prompt text. - For interpolated multi-line prompts, prefer a single triple-quoted f-string over concatenated string fragments.
Hosted
The hosted version is on the hosted branch. The hosted branch connects to a saas backend, which is a seperate codebase at ../screenshot-to-code-saas
Cursor Cloud specific instructions
Dependencies are refreshed automatically on startup (poetry install in backend/, pnpm install in frontend/); no manual install is needed.
Cursor Cloud environment setup should run bash /agent/repos/screenshot-to-code/scripts/cursor-cloud-install.sh; the script changes to the repo root before installing so it works regardless of the startup working directory.
Services (see README.md for the canonical commands):
- Backend (FastAPI + WebSocket): from
backend/,poetry run uvicorn main:app --reload --port 7001. - Frontend (Vite/React): from
frontend/,pnpm dev→ openhttp://localhost:5173. The Vite dev server binds tolocalhostonly, so usehttp://localhost:5173, nothttp://127.0.0.1:5173(the latter refuses the connection). - Frontend talks to the backend over a WebSocket (
VITE_WS_BACKEND_URL, defaultws://127.0.0.1:7001); generation streams over that socket, other routes are plain HTTP.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 48 lines · 839 tokens per session scan A 0d44a766fe4e
screenshot-to-code AGENTS.md is an instructions file published in the GitHub repository abi/screenshot-to-code (81,047 stars, last pushed yesterday), licensed MIT. It adds 839 tokens to every session, about $0.0034 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
screenshot-to-code AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| screenshot-to-code AGENTS.mdabi/screenshot-to-code | Instructions file | 81k | yesterday | MIT | A | 839 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |