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mocreo-apimocreo API 搜索

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

235

周安装

10

GitHub Stars

2

下载量

82
CodexClaudeCursorGemini CLI

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

unknown

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:mocreo-api(mocreo API 搜索)
来源仓库:https://github.com/mocreo-iot/skills
仓库路径:skills/mocreo-api
安装命令:
npx skills add https://github.com/mocreo-iot/skills --skill mocreo-api
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mocreo-iot/skills --skill mocreo-api

简介

用于辅助 API 设计、接口文档和响应结构梳理。

  • 适合生成 OpenAPI 草稿、检查字段命名或整理错误码。
  • 使用时需确认业务语义、鉴权方式和分页规则,避免凭空补字段。
  • 建议从现有代码或接口样例中提取事实生成文档。mocreo-api 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前应核实权限范围和维护状态,注意可能触发的网络请求。

SKILL.md

MOCREO API Skills

This is the root router skill. Load this skill first, then route to exactly one sub-skill.

Use this skill whenever the user is asking about a MOCREO device's battery, temperature, humidity, online status, alerts, or history, including English requests that only provide a device ID, node ID, SN, asset, or hub model without explicitly saying MOCREO.

First-Time Setup

Do not proactively read or inspect the .env file. Credentials are checked automatically when the login script runs. If either v2_login.py or v3_login.py exits with code 2 and stderr contains MOCREO_CREDENTIALS_MISSING, output the following message verbatim — do not summarize, rephrase, or shorten it. Then stop and wait for the user to confirm setup is complete before taking any further action.

Credential Missing — Fixed Response


MOCREO credentials are not configured. Open a terminal, navigate to the runtime root, and run the setup script:

macOS / Linux / Windows

python scripts/setup_credentials.py

The script will guide you through platform selection and prompt for your email and password (password input is hidden). Let me know once it's done and I will continue.


If the login script does find credentials but the login still fails, do not say setup is missing. Treat that as a configured-but-invalid state: the saved account, password, or selected platform is likely wrong. In that case, tell the user that the bootstrap may have saved credentials without proving they work, ask them to rerun the setup and confirm they picked the correct platform, and only mention platform mismatch as a possibility rather than a certainty.

Do NOT run setup_credentials.py or any login script yourself. They require interactive terminal input (platform menus, hidden password) and will hang in a non-interactive AI shell.

The setup flow:

  • It asks guided terminal questions to identify the user's system.
  • It uses the following knowledge base:

- MOCREO Sensor App == MOCREO Sensor System == MOCREO V2 - MOCREO Smart App == MOCREO Smart System == MOCREO V3 - V2 hubs: H1, H2 - V3 hubs: H3, H5-Lite, H5-Pro, H6-Lite, H6-Pro - V2-only sensors: ST1, ST2, ST3, ST4, ST7, ST7-CL, SS1, NM1 - V3-only sensors: MS2, LS1, LS2, LS3, LW1, LD1, LB1, NS1, NS2, NS3 - Shared sensors requiring a follow-up question: ST5, ST6, ST8, ST9, ST10, MS1, SW2

  • Password input is hidden via terminal secure entry and stored only in the local .env file.
  • In Claude marketplace deployments, shared runtime files such as .env and .mocreo_v3_apikeys.json live at the marketplace root rather than inside plugins/mocreo-api.

Never ask the user to send their password in chat. Never guess their platform. Never install Python dependencies without the user's permission. If a missing-package error appears, explain the install command first, warn when it may affect the current or global Python environment, and wait for approval before running it.

Routing - Which Sub-Skill to Load

Read the user's request and load the appropriate sub-skill SKILL.md:

User mentionsLoad
"MOCREO Sensor App", "Sensor System", "V2", "H1", "H2", "node", "alert"Source / npx: mocreo-sensor-system/SKILL.md Claude marketplace: skills/mocreo-sensor-system/SKILL.md
"MOCREO Smart App", "Smart System", "V3", "H3", "H5", "H6", "NS1", "NS2", "NS3", "asset", "API key"Source / npx: mocreo-smart-system/SKILL.md Claude marketplace: skills/mocreo-smart-system/SKILL.md

Routing priority:

  • If setup_credentials.py has already saved MOCREO_PLATFORM, treat that saved platform as the primary source of truth.
  • Do not override the saved platform just because the user says generic words like sensor, temperature, humidity, monitoring data, or device data.
  • The word sensor alone is not enough to choose mocreo-sensor-system, because both Smart System and Sensor System can include sensors.
  • Only use request keywords as a routing hint when the request includes system-specific evidence such as app name, hub family, explicit system name, or clearly system-bound entities like asset or API key.

If the system cannot be determined from the request but credentials are already configured, use the saved MOCREO_PLATFORM.

If the system cannot be determined and credentials are not configured yet, output the fixed "Credential Missing" response above instead of asking for free-form credential details in chat.

Once you identify the correct sub-skill, read its SKILL.md and follow the instructions there.

Before Every Shell Command

Before running any script, always output one short sentence in plain language explaining what you are about to do and why. Keep it under 15 words. Do this every time, without exception — it helps the user understand the permission prompt and feel confident approving it.

Examples:

  • Logging in to get an access token.
  • Fetching the list of sensors under your account.
  • Checking existing API keys on Home/Asset before creating a new one.
  • Deleting unused key testexamples123 from Home/Asset as confirmed.

Never use technical jargon (no "Bearer token", no "exit code", no script names) in this sentence.

Command Base Path

Run all commands from the runtime root shown below, not from an individual sub-skill folder. Use the path variant that exists in the current install:

  • Source repo or npx skills add: python scripts/setup_credentials.py or python mocreo-smart-system/scripts/v3_login.py
  • Claude marketplace package: python scripts/setup_credentials.py or python skills/mocreo-smart-system/scripts/v3_login.py

Runtime Layout

The runtime root for this skill should contain the files needed to execute commands directly.

Source repo and npx skills add layout:

runtime-root/
|- SKILL.md                      <- this file (router)
|- requirements.txt              <- shared Python dependencies
|- scripts/
|  \- setup_credentials.py       <- interactive shared credential setup (Python)
|- common/
|  \- mocreo_auth.py             <- shared credential and platform helpers
|- mocreo-sensor-system/
|  |- SKILL.md                   <- Sensor System instructions for AI
|  \- scripts/                   <- Sensor System Python scripts
|- mocreo-smart-system/
|  |- SKILL.md                   <- Smart System instructions for AI
|  \- scripts/                   <- Smart System Python scripts
|- openapi.en.yaml               <- Smart System OpenAPI reference
|- openapi.zh.yaml               <- Smart System OpenAPI reference (Chinese)
\- sensor-swagger.json          <- Sensor System Swagger reference

Claude marketplace package layout:

runtime-root/
|- .claude-plugin/
|  \- plugin.json                <- plugin manifest when packaged for Claude
|- requirements.txt
|- scripts/
|- common/
|- skills/
|  |- mocreo-api/
|  |  \- SKILL.md                <- this file (router)
|  |- mocreo-sensor-system/
|  |  |- SKILL.md
|  |  \- scripts/
|  \- mocreo-smart-system/
|     |- SKILL.md
|     \- scripts/
|- openapi.en.yaml
|- openapi.zh.yaml
\- sensor-swagger.json

In the canonical source repository, the Claude marketplace manifest lives at .claude-plugin/marketplace.json, and the self-contained Claude plugin package is generated under plugins/mocreo-api/. In Claude marketplace deployments, the shared .env, .env.example, and .mocreo_v3_apikeys.json live at the marketplace root outside the nested plugin folder.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.72%
按下载量换算28

Claude

28.54%
按下载量换算23

Cursor

18.74%
按下载量换算15

Gemini CLI

9.14%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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