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Agent Skill · 研究检索

box2robot-skills(box2 机器人技能)

box2robot-skills 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

box2robot-skills 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 28,280。

总安装 3,246周安装 138GitHub Stars 1下载 1,137核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.7

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:box2robot-skills(box2 机器人技能)
来源仓库:https://github.com/boxjod/box2robot-skills
安装命令:
openclaw skills install box2robot-skills
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install box2robot-skills

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过云 API 控制 Box2Robot 机械臂 — 移动伺服系统、记录轨迹、校准、摄像头、语音并协调 AI 训练/推理。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install box2robot-skills;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

box2robot-skills 怎么安装?

在终端执行 openclaw skills install box2robot-skills。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

box2robot-skills 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

box2robot-skills 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

box2robot-skills 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

box2robot-skills 用的人多吗?

公开数据是累计安装 3,246 次,近一周安装 138 次,下载 1,137 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

box2robot-skills 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
box2robot-skills

box2 机器人技能 · 本页

3,2461接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
box2robot
description
Control Box2Robot robotic arms via cloud API — move servos, record trajectories, calibrate, camera, voice, and orchestrate AI training/inference.
version
0.3.0
homepage
https://robot.box2ai.com
emoji
\F916
metadata
openclaw
requires
env
[B2R_TOKEN, B2R_SERVER, B2R_DEVICE]
bins
[python3]
anyBins
[python3, python]
primaryEnv
B2R_TOKEN
install
package
aiohttp
bins
[]

Box2Robot — Robotic Arm Control Skill

Control ESP32-based robotic arms through a cloud server API. Move servos, record trajectories, calibrate, capture images, voice interaction, and orchestrate AI training/inference — all from a single CLI.

Official skill published by the Box2Robot team (https://robot.box2ai.com).

Safety & Supervision

This skill controls physical robotic hardware and camera/microphone peripherals. - Human supervision required: Do NOT run autonomously without operator oversight. Servo torque and motion commands cause physical movement that could injure people or damage objects. - Destructive operations (device.factory_reset, device.wifi_clear, calibrate.center_offset) require explicit user confirmation before execution. - Privacy-sensitive operations (camera.snapshot, camera.voice_start, camera.record_audio_start) access camera and microphone — only invoke with user consent. - No OS shell access: The exec command routes named Actions through the HTTP API (e.g., exec servo.move). The shell command is an interactive REPL that dispatches CLI subcommands — neither executes arbitrary OS commands. All operations are HTTP requests to B2R_SERVER. - Token sensitivity: ~/.b2r_token stores a JWT that grants device control. Treat it like an SSH key. Delete it when no longer needed.

Credential Flow

login → POST /api/auth/login → JWT token
  → saved to ~/.b2r_token (mode 0600, owner-only)
  → all subsequent commands use this token automatically
  → override with B2R_TOKEN env var
  → delete ~/.b2r_token to revoke

All network calls go exclusively to B2R_SERVER (default: https://robot.box2ai.com). No other endpoints are contacted.

Setup

# Install dependency
pip install aiohttp

# Login (one-time, token cached to ~/.b2r_token)
python b2r.py login <username> <password>

# Or set environment variables
export B2R_SERVER="https://robot.box2ai.com"
export B2R_TOKEN="<jwt_token>"
export B2R_DEVICE="B2R-XXXXXXXXXXXX"

CLI Quick Reference

Device & Status

b2r.py devices                     # List devices (* = online)
b2r.py status                      # Servo positions, load, temperature

Servo Control

b2r.py torque on                   # Lock servos
b2r.py torque off                  # Release (allows manual dragging)
b2r.py home                        # Safe return to home position
b2r.py move <servo_id> <pos> [spd] # Move a single servo
# Position: 0-4095 (center 2048), Speed: 0-4000 (default 1000)

Recording & Playback

b2r.py record start                # Start recording
b2r.py record stop [name]          # Stop and save
b2r.py play                        # List all trajectories
b2r.py play <traj_id>              # Play a trajectory

Camera & Data

b2r.py snapshot                    # Camera snapshot
b2r.py frame [cam_id] [output.jpg] # Download latest camera frame (JPEG)
b2r.py calibrate [servo_id]        # Auto-calibrate (0 = all)
b2r.py download <traj_id> [dir]    # Download trajectory images (HTTP GET only)

Action System (79 Actions)

Invoke via b2r.py exec <action_name>. Parameters in JSON or key=value format.

device (Device Management)

ActionDescription
device.listList devices
device.statusDevice status (control mode + servos)
device.bindBind device (requires bind_code)
device.unbindUnbind device
device.renameRename device
device.factory_reset[DESTRUCTIVE] Factory reset — requires user confirmation

servo (Servo Control)

ActionParametersDescription
servo.statusdevice_idRead position/load/temperature
servo.movedevice_id, servo_id, position, [speed]Move single servo
servo.move_batchdevice_id, commands:[{id,position,speed}]Batch move
servo.torquedevice_id, enable:boolToggle torque
servo.go_homedevice_idReturn to home position
servo.set_iddevice_id, old_id, new_idBurn servo ID

recording (Recording & Playback)

ActionParametersDescription
record.startdevice_id, [mode], [camera_id]Start recording (single/dual/phone)
record.stopdevice_id, [name]Stop recording
trajectory.listdevice_idList trajectories
trajectory.playdevice_id, trajectory_idPlay trajectory
trajectory.stopdevice_id, trajectory_idStop playback
trajectory.deletedevice_id, trajectory_idDelete trajectory

pairing (Leader-Follower)

ActionParametersDescription
pairing.createleader_id, follower_ids, [use_espnow]Create pairing
pairing.disconnectleader_idDisconnect
pairing.connectleader_idReconnect
pairing.deleteleader_idDelete pairing
espnow.discover—Scan nearby devices

calibration

ActionParametersDescription
calibrate.autodevice_id, [servo_id=0]Auto-calibrate (0 = all)
calibrate.manualdevice_id, servos:[{id,min,max,mid}]Manual calibration
calibrate.center_offsetdevice_idWrite EEPROM center offset

camera (Camera & Voice)

Privacy note: Snapshot and voice commands access camera/microphone hardware. Only invoke with user consent.
ActionParametersDescription
camera.snapshotdevice_id[PRIVACY] Take photo
camera.stream_modedevice_id, modeStream mode (idle/preview/inference)
camera.voice_startdevice_id[PRIVACY] Enable microphone
camera.voice_stopdevice_idDisable microphone
camera.ttsdevice_id, promptText-to-speech

training (Training & Inference)

ActionParametersDescription
training.submitname, dataset_ids, [model_type]Submit training job
training.list[page]Job list
training.deployjob_id, arm_device_id, gpu_device_idDeploy inference
training.stop_inferencejob_idStop inference

store (Skill Store)

ActionParametersDescription
store.list[search], [category]Browse store
store.executetask_id, device_idExecute skill

config (Configuration)

ActionParametersDescription
config.getdevice_idView config
config.setdevice_id, params:{key:val}Update config
config.speeddevice_id, speed(100-4000)Set speed
config.volumedevice_id, volume(0-255)Volume

Natural Language

Via b2r.py say "text":

InputMaps to
"go home" / "回零位"servo.go_home
"release torque" / "释放力矩"servo.torque(False)
"start recording" / "开始录制"record.start
"take a photo" / "拍照"camera.snapshot
"auto calibrate" / "自动校准"calibrate.auto
"move servo 1 to 2048"servo.move(1, 2048)

Preflight Checks

Agents must verify before executing:

StepCheckOn Failure
1Device online"Device offline — check power"
2Device type = arm"Not a robotic arm"
3Control mode = idlerelease_control first
4Calibration existscalibrate.auto first
5Servo count matchesTrajectory vs device axis count

Orchestration Examples

"Teach you to pour water, record 5 demos"

1. torque off
2. camera.stream_mode(cam_id, "preview")
3. Loop 5x:
   record.start(mode="single", camera_id)
   [user demonstrates]
   record.stop(name="pour_water_{n}")
4. training.submit(name="pour_water", dataset_ids)

Visual Inference Loop

1. training.deploy(job_id, arm_id, gpu_id, cam_id)
2. GPU auto-loop: image → inference → command → arm
3. training.stop_inference(job_id)

HTTP API Direct Access

# Login
curl -X POST https://robot.box2ai.com/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username":"xxx","password":"xxx"}'

# Move servo
curl -X POST https://robot.box2ai.com/api/device/B2R-xxx/command \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{"id":1,"position":2048,"speed":1000}'

Environment Variables

VariableDescriptionDefault
B2R_SERVERServer URLhttps://robot.box2ai.com
B2R_TOKENJWT token (overrides ~/.b2r_token)—
B2R_DEVICEDefault device ID—

平台分布

OpenClaw

80.74%
按下载量换算918

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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