by physiclaw
The AI agent that interacts with you in the real world.
# Add to your Claude Code skills
git clone https://github.com/physiclaw/PhysiClawLast scanned: 8/5/2026
{
"issues": [
{
"file": "README.md",
"line": 57,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://physiclaw.ai/install.sh | bash\"",
"severity": "low"
}
],
"status": "PASSED",
"scannedAt": "2026-08-05T06:27:22.910Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}PhysiClaw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by physiclaw. The AI agent that interacts with you in the real world. It has 292 GitHub stars.
Yes. PhysiClaw passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/physiclaw/PhysiClaw" and add it to your Claude Code skills directory (see the Installation section above).
PhysiClaw is primarily written in Python. It is open-source under physiclaw on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh PhysiClaw against similar tools.
No comments yet. Be the first to share your thoughts!
An AI agent that physically operates a phone — the way you do.
PhysiClaw watches a phone's screen with a camera and taps it with a stylus, working the phone the way a person would. No APIs, no OAuth, no ADB cables, nothing installed on the phone — just unlock it, set it on the desk, and let the agent work.
It's built for the everyday errands that pile up — ordering takeout, shopping for groceries, booking a ride, paying a bill, replying to a message. Anything you can do by hand on your phone, PhysiClaw can do for you.
The apps that run your daily life are closed off: most expose no public API, and simulated input — desktop automation or Android's ADB — leaves software fingerprints that anti-bot systems flag. So PhysiClaw treats the screen itself as the API: a camera reads it, a stylus performs the gestures. To the phone it's indistinguishable from a real finger — nothing to detect — and it reaches virtually any app reliably.
The trade-off is speed: a few seconds per action, in exchange for universality and reliability.
PhysiClaw has its own dedicated phone running its own WhatsApp account. Add it as a contact and chat with it like a real person — tell it what you need in plain language:
Order a latte on DoorDash.
What's the weather tomorrow?
Buy milk and eggs on Instacart.
Its runtime loops continuously, waking the agent when a scheduled task is due or the screen lights up with a new message. The agent unlocks the phone, reads your message, and does the task — pausing for confirmation when it matters, like a payment — then replies with the result, saves its memory, and exits until it's next woken.
You'll need the PhysiClaw hardware — the arm, stylus, and camera — plus an iPhone for it to operate.
The physiclaw CLI runs on macOS, Windows, and Linux:
# Install the CLI (uv + Python 3.12 + physiclaw)
curl -fsSL https://physiclaw.ai/install.sh | bash
# Windows: iwr -useb https://physiclaw.ai/install.ps1 | iex
physiclaw models key <provider> # add your LLM API key
physiclaw models use <provider/model> # pick the model the agent runs on
physiclaw doctor # check your environment
physiclaw # start the server — opens the hardware-setup wizard, then runs the agent
MIT — both the CAD-as-code hardware and the agent software.