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sensorsensor 分析

Agent Skill

sensor 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。

总安装

6,674

周安装

270

GitHub Stars

公开资料未说明

下载量

2,095
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:sensor(sensor 分析)
来源仓库:https://github.com/ckchzh/sensor
安装命令:
openclaw skills install sensor
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 sensor

简介

从终端读取和管理物联网传感器数据。在轮询读数、检查设备连接、转换单位、分析遥测趋势时使用。

SKILL.md

name
Sensor
description
Read and manage IoT sensor data from the terminal. Use when polling readings, checking device connectivity, converting units, analyzing telemetry trends.
version
2.0.0
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills
tags
["sensor", "tool", "terminal", "cli", "utility"]

Sensor

A terminal-first utility toolkit for managing sensor data. Log readings, check device status, analyze telemetry, generate reports, and export data — all with timestamped logging and full export support.

Why Sensor?

  • Works entirely offline — your data never leaves your machine
  • Simple command-line interface, no GUI needed
  • Export to JSON, CSV, or plain text anytime
  • Automatic history and activity logging
  • Each command maintains its own dedicated log file

Commands

CommandDescription
sensor run <input>Run a sensor task (or view recent runs with no args)
sensor check <input>Check sensor readings or device connectivity
sensor convert <input>Convert between units or data formats
sensor analyze <input>Analyze telemetry trends and patterns
sensor generate <input>Generate sensor configurations or test data
sensor preview <input>Preview a sensor operation before executing
sensor batch <input>Batch-process multiple sensor readings
sensor compare <input>Compare sensor readings across devices or time periods
sensor export <input>Log an export operation (or view recent exports)
sensor config <input>Store or review sensor configuration settings
sensor status <input>Log a device status update (or view recent status entries)
sensor report <input>Generate or log a sensor data report
sensor statsShow summary statistics across all categories
sensor export <fmt>Export all data (formats: json, csv, txt)
sensor search <term>Search across all logged entries
sensor recentShow the 20 most recent activity log entries
sensor statusHealth check — version, data dir, entry count, disk usage
sensor helpShow full usage information
sensor versionShow version (v2.0.0)

Each action command works in two modes:

  • With arguments: saves the input with a timestamp to <command>.log and logs to history
  • Without arguments: displays the 20 most recent entries for that command

Data Storage

All data is stored locally in ~/.local/share/sensor/. Each command writes to its own dedicated log file (e.g., run.log, check.log, analyze.log). A unified history.log tracks all activity with timestamps. Data never leaves your machine.

Directory structure:

~/.local/share/sensor/
├── run.log
├── check.log
├── convert.log
├── analyze.log
├── generate.log
├── preview.log
├── batch.log
├── compare.log
├── export.log
├── config.log
├── status.log
├── report.log
└── history.log

Requirements

  • Bash (with set -euo pipefail)
  • Standard Unix utilities: date, wc, du, tail, grep, sed, cat
  • No external dependencies or network access required

When to Use

  1. Logging IoT sensor readings from the field — use run and check to record temperature, humidity, pressure, or other sensor readings with automatic timestamps
  2. Analyzing telemetry trends across devices — use analyze and compare to identify patterns in sensor data and spot anomalies between devices or time periods
  3. Converting sensor data between units — use convert to log unit conversions (Celsius to Fahrenheit, PSI to bar, etc.) and keep a record of transformations
  4. Generating periodic sensor reports — use report, stats, and export to compile sensor data into JSON, CSV, or text formats for dashboards or stakeholder reviews
  5. Batch-processing multi-device sensor data — use batch and config to handle bulk sensor operations and maintain device configuration records

Examples

# Log a temperature reading
sensor run "Sensor-A3: 23.5°C at warehouse zone B"

# Check device connectivity status
sensor check "Gateway-01: online, 12 sensors connected, latency 45ms"

# Analyze a telemetry trend
sensor analyze "Temperature drift: +0.3°C/hour over last 6 hours in cold storage"

# Export all sensor data as CSV for analysis
sensor export csv

# Search for all entries related to a specific sensor
sensor search "Sensor-A3"

Configuration

Set the SENSOR_DIR environment variable to change the data directory. Default: ~/.local/share/sensor/

Output

All commands output results to stdout. Redirect to a file with > output.txt if needed. The export command writes directly to ~/.local/share/sensor/export.<fmt>.


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适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.87%
按下载量换算2,008

安全审计

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权限和风险

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

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来源信息

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