cursorrules

Project-specific coding rules for ClawArm, a system that controls robotic arms through a Python server and a TypeScript plug-in. They define code style, units, safety limits, testing, and motion conventions.

In plain words
What is it for?
Use them when developing or reviewing ClawArm's Python bridge, TypeScript plug-in, or code-generation skills, especially for motion commands and safety checks.
Why use it?
They reduce mistakes that could cause incorrect robot movement or inconsistent code. They also record how to test without connecting real hardware.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/clawland-ai/clawarm/cursorrules
Clone the repo
git clone --depth 1 https://github.com/Clawland-AI/Clawarm

Made for: Cursor.

Per session 304 This file is loaded in full into every session.
When invoked 304 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00304 $0.00304
Opus 5 $0.00152 $0.00152
Sonnet 5 $0.00061 $0.00061
Haiku 4.5 $0.00030 $0.00030

Measured yesterday against content hash 88a1bbaeb34f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursorrules 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 yesterday.

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.

.cursorrules · 31 lines

What it actually says

ClawArm Development Rules

Project Overview

ClawArm is an AI-powered robotic arm control system using OpenClaw + pyAgxArm. It has three main components:

  • bridge/ — Python FastAPI server wrapping pyAgxArm (the runtime)
  • plugin/ — OpenClaw TypeScript plugin providing agent tools
  • skills/ — OpenClaw skill files for code generation

Code Style

  • Python: follow ruff defaults (E, F, I, W), line length 100
  • TypeScript: standard style, ESM imports with .js extensions
  • All motion values: joints in radians, positions in meters

Safety Rules

  • NEVER remove or weaken safety checks without explicit approval
  • NEVER increase default speed limits above 80%
  • NEVER disable safety validation in tests (use mock driver instead)
  • ALL new motion commands must pass through SafetyValidator

Testing

  • Run pytest -q before committing (uses mock driver, no hardware needed)
  • Set CLAWARM_MOCK=true when running the bridge server without hardware
  • Bridge API tests use httpx AsyncClient with ASGI transport

Key Conventions

  • motion_status == 0 means motion is COMPLETE (not == 1)
  • Mode switch requires 1s delay before AND after
  • Robot must be enabled BEFORE switching motion modes
  • NERO = 7 DOF, Piper = 6 DOF
Changes

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.

  1. yesterday First seen · 31 lines · 304 tokens per session scan A 88a1bbaeb34f

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository Clawland-AI/Clawarm (10 stars, last pushed 6mo ago), licensed MIT. It adds 304 tokens to every session, about $0.0015 per session on Opus 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 2026-08-31.