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Agent Skill · 研究检索

mocreo-api(mocreo API 搜索)

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。

mocreo-api 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,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 68,166。

总安装 235周安装 10GitHub Stars 2下载 82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
unknown

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

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。

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。

来源仓库内路径:skills/mocreo-api

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/mocreo-iot/skills --skill mocreo-api;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

mocreo-api 怎么安装?

在终端执行 npx skills add https://github.com/mocreo-iot/skills --skill mocreo-api。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mocreo-api 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

mocreo-api 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。

mocreo-api 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mocreo-api 用的人多吗?

公开数据是累计安装 235 次,近一周安装 10 次,下载 82 次,GitHub 2 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。

mocreo-api 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
mocreo-api

mocreo API 搜索 · 本页

2352接触敏感数据未明确通过

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

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.

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

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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