leLab CLAUDE.md

A repository guide for LeLab, a web interface for controlling, recording, calibrating, replaying, and training a SO-101 robot arm. It combines a FastAPI Python server with a React frontend.

In plain words
What is it for?
Use it when installing LeLab, changing its Python API or React interface, building the frontend, packaging the application, or updating robot-control workflows.
Why use it?
It explains how the server, browser interface, packaged frontend, and Hugging Face deployment fit together, reducing confusion about which build output is used where.

Instructions file

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 instructions/huggingface/lelab/claude-md
Clone the repo
git clone --depth 1 https://github.com/huggingface/leLab
Per session 1,656 This file is loaded in full into every session.
When invoked 1,656 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.01656 $0.01656
Opus 5 $0.00828 $0.00828
Sonnet 5 $0.00331 $0.00331
Haiku 4.5 $0.00166 $0.00166

Measured 3d ago against content hash bedf4aa75216, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

leLab CLAUDE.md scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Run the Python tests with `pytest` (config in [pyproject.toml](pyproject.toml); install dev deps via `pip install -e ".[test]"`). Tests live in [tests/](tests/) and cover request schemas, pure helpers, and idle/mutex bra
CLAUDE.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Repository purpose

LeLab is a FastAPI + React web interface wrapping the LeRobot framework for the SO-101 leader/follower arm. It exposes teleoperation, dataset recording, calibration, replay, and training as HTTP/WebSocket endpoints, replacing LeRobot's CLI + keyboard-driven flows.

The frontend (React + Vite) lives in frontend/. The built bundle in frontend/dist/ is committed and shipped inside the Python wheel as package data (frontend.__init__.py makes setuptools treat it as a package); lelab/server.py mounts it as StaticFiles at / so a single lelab process serves both API and UI on :8000. The frontend/ directory is also force-pushed to the LeLab HF Space by .github/workflows/sync_space.yml — that's a separate runtime; the Space builds the Dockerfile (which runs npm run build again, so committed dist/ doesn't matter to it).

Common commands

Install (editable, requires Python ≥3.10):

pip install -e .

lerobot is pinned to a release tag on huggingface/lerobot (currently v0.6.0, see pyproject.toml) — installed from git rather than PyPI because the published wheels don't expose the lerobot-rollout script that lelab/rollout.py shells out to. Bump the tag when you want a newer upstream release; expect import-path drift (e.g. lerobot.configs.dataset, lerobot.utils.feature_utils, lerobot.common.control_utils) and adjust call sites accordingly.

Run servers (entry point defined in pyproject.toml):

lelab          # uvicorn on :8000, serves built frontend at /, opens browser
lelab --dev    # spawns Vite dev (:8080) + uvicorn --reload (:8000), opens browser to :8080

Read the full file on GitHub · 75 lines

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. 3d ago First seen · 75 lines · 1,656 tokens per session scan A bedf4aa75216

Subscribe to this mod's changes

leLab CLAUDE.md is an instructions file published in the GitHub repository huggingface/leLab (159 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,656 tokens to every session, about $0.0083 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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