device-access 精选
Reach RuView sensing hardware from the machine it is attached to — ESP32 CSI nodes (serial + UDP stream), 60 GHz MR60BHA2 / 24 GHz LD2410 mmWave radars, RPLIDAR and iPhone LiDAR — and from other machines over SSH, read-only.
安装方式
cp -r harness/ruview/.claude/skills/device-access ~/.claude/skills/device-access把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
/plugin marketplace add ruvnet/RuView⚠️ 该命令形态随客户端版本变化,仅在检测到 .claude-plugin/marketplace.json 时展示;不可用时请用「目录复制」。
https://raw.githubusercontent.com/ruvnet/RuView/a71634ae8a606bba5463489450c69e8b42de114e/harness/ruview/.claude/skills/device-access/SKILL.md下载后另存为 ~/.claude/skills/device-access/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/ruvnet/RuView.git
依赖与权限
- 无需 API Key
- 无需联网
- 依赖外部命令:
nodepythonnpx - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
device-access
Hardware tools must run on the host the device is plugged into. A cloud
agent cannot see your USB ports. Run npx @ruvnet/ruview locally, start a
local Claude Code session there (claude remote-control in the repo if you
want to drive it from the Claude app), or add the machine as an SSH host.
1. Find devices
npx @ruvnet/ruview doctor --group python,serial,devices,remote
npx @ruvnet/ruview devices # USB VID:PID → likely ESP32 / mmWave / RPLIDAR + confirm command
2. Read each modality
| Device | Command | Confirms |
|---|---|---|
| ESP32 node (USB) | ruview doctor --port <p> --probe, ruview monitor --port <p> | chip id; CSI callbacks in the serial log (the monitor never resets the node; C6/S3 USB-Serial/JTAG builds log on the native USB port) |
| ESP32 / Realtek node (network) | ruview esp32 --seconds 10 [--udp-port 5005] | per-node CSI rate, sequence loss, RSSI, CSI shapes, device vitals; Realtek RAC1 CSI and heartbeat-only senders |
| Realtek RTL8721Dx (USB, PL2303) | ruview monitor --port <p> --baud 1500000 | RUVIEW_CSI: frame # lines in the Ameba log |
| Live CSI → kernel | ruview esp32 --seconds 45 --analyze [--node-id N] [--backend napi] | kernel vitals summary at the measured frame rate (no reference measurement) |
| 60 GHz MR60BHA2 | ruview mmwave --port <p> --model mr60bha2 | valid frames, checksum errors, presence/distance/device HR+BR |
| 24 GHz LD2410 | ruview mmwave --port <p> --model ld2410 | target state and distances |
| RPLIDAR | ruview lidar --source rplidar --port <p> [--baud 115200] | points, revolutions, range, angular coverage |
| iPhone LiDAR | export RUVIEW_LIDAR_TOKEN=…; ruview lidar --source iphone --url ws://HOST:8787/ws/lidar | depth frame rate, confident fraction, median depth |
The UDP capture cannot share port 5005 with a running sensing server; stop
the server or have the nodes target another port.
3. Other machines (SSH, read-only)
npx @ruvnet/ruview hosts add --name lab-pi --ssh ruv@lab-pi.local
ssh ruv@lab-pi.local true # pin the host key once
npx @ruvnet/ruview hosts run --host lab-pi --tool ruview_devices_scan
npx @ruvnet/ruview hosts run --host lab-pi --tool ruview_mmwave_read --args-json '{"port":"/dev/ttyUSB0"}'
Remote hosts run a pinned @ruvnet/ruview and accept only read-only tools.
Flash, train, and calibrate on the host itself.
Evidence
Device readouts are MEASURED readings, not accuracy results. mmWave
heart/breathing values are the radar's own estimates. Hardware validation
still means a captured log or stream from real silicon, recorded with the
command that produced it.
质量与来源
- 所属仓库
- ruvnet/RuView
- 仓库星标
- 9.8 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- a71634ae8a60
- 内容指纹
- sha256:cb6aef6bfe7283d
- 文件路径
- harness/ruview/.claude/skills/device-access/SKILL.md