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st-ent-skills-install支架技能安装

Agent Skill

st-ent-skills-install 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

6,985

周安装

297

GitHub Stars

公开资料未说明

下载量

2,447
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:st-ent-skills-install(支架技能安装)
来源仓库:https://github.com/st699pic/st-ent-skills-install
安装命令:
openclaw skills install st-ent-skills-install
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 st-ent-skills-install

简介

安装与验证 699pic 企业 MCP 服务器连接。

  • 自动配置 GitHub 仓库依赖与运行环境。
  • 适用于企业素材系统集成与初始化部署。st-ent-skills-install 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install st-ent-skills-install。
  • 需确保网络可访问 GitHub 与相关镜像源。

SKILL.md

name
st-ent-mcp-install
description
Install, wire, and verify the 699pic enterprise MCP server from the GitHub repository https://github.com/st699pic/st-ent-mcp . Use when the user asks to 安装 st-ent-mcp、接入 699pic MCP、配置 OpenClaw/Claude/Codex 的 MCP、克隆并注册这个仓库,或 when a local MCP install workflow is needed for the 699pic enterprise OpenAPI server.

st-ent-mcp install

Use this skill to install and connect the st-ent-mcp repository as a local stdio MCP server.

Goal

Set up the repo, provide required env vars, start the MCP server with Node.js, and register it in the local client/runtime.

Default repo

  • GitHub: https://github.com/st699pic/st-ent-mcp

Preconditions

Check these first:

  • Node.js 22+
  • git, node, and mcporter must be installed before you try the local install flow.
  • A valid SERVICE_API_KEY
  • A reachable SERVICE_API_BASE_URL
  • Use the smallest-scope SERVICE_API_KEY available for this integration.
  • If you cannot fully audit the target repo, use an isolated environment such as a container or VM.
  • Review the target repo, especially mcp/server.js, before running example scripts or starting the server.

Trust and audit requirements

Do not run install commands blindly.

Minimum review checklist:

  1. Verify the repository source and homepage match the expected project.
  2. Inspect README.md, package.json, and mcp/server.js.
  3. Confirm the server does not perform unexpected network calls, process spawning, or file writes outside the intended MCP/OpenAPI workflow.
  4. Confirm required env vars are limited to SERVICE_API_KEY and SERVICE_API_BASE_URL.
  5. Only continue once the code review is complete or the repo is isolated.

Recommended install workflow

  1. Clone or update the repo.
  2. Verify the upstream repository identity and inspect the code, with focus on mcp/server.js.
  3. Create a local .env or equivalent env export with SERVICE_API_BASE_URL and a least-privilege SERVICE_API_KEY.
  4. If audit confidence is incomplete, move the repo into an isolated environment before any execution.
  5. Verify the server starts with node mcp/server.js.
  6. Register it with the target MCP client.
  7. Run a smoke test (tools/list or one real call).

OpenClaw / mcporter path

When wiring into the current OpenClaw workspace, prefer mcporter project config.

Typical registration shape:

mcporter config add st-ent-mcp \
  --command node \
  --arg /absolute/path/to/st-ent-mcp/mcp/server.js \
  --env SERVICE_API_BASE_URL=https://example.com \
  --env SERVICE_API_KEY=st_ent_xxx \
  --scope project

Then verify:

mcporter list st-ent-mcp --schema

Claude / other MCP client path

Use a stdio config entry with:

  • command: node
  • args: [/absolute/path/to/mcp/server.js]
  • env.SERVICE_API_BASE_URL
  • env.SERVICE_API_KEY

Notes

  • Prefer absolute paths.
  • Do not run scripts/install-example.sh until you have reviewed the target repo and intentionally exported the required env vars.
  • If the server uses newline-delimited JSON over stdio, make sure the implementation matches the target MCP client framing.
  • If OpenClaw already has a local fork/custom server, do not overwrite it blindly; compare first.
  • The current skill format does not provide a dedicated machine-readable field for required env vars, so the requirement is documented explicitly here and in references/repo.md.

Resources

Read references/repo.md for the repo-derived install facts. Use scripts/install-example.sh as a reusable skeleton when creating a local install command.

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

89.13%
按下载量换算2,181

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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