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Agent Skill · 研究检索

aliyun-openclaw-setup(aliyun OpenClaw 设置)

aliyun-openclaw-setup 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。

aliyun-openclaw-setup 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,598。

总安装 2,496周安装 104GitHub Stars 公开资料未说明下载 832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
MIT-0
版本
1.0.0

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:aliyun-openclaw-setup(aliyun OpenClaw 设置)
来源仓库:https://github.com/cinience/aliyun-openclaw-setup
安装命令:
openclaw skills install aliyun-openclaw-setup
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 aliyun-openclaw-setup

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。

在 Linux 主机上安装与配置 OpenClaw,支持钉钉、飞书、Discord 等渠道接入。适用于多环境部署、模型切换与宿主进程初始化场景。执行环境检查、依赖安装与配置文件生成脚本。

安装命令:openclaw skills install aliyun-openclaw-setup;需 root 或 sudo 权限。生产部署前应在测试机验证所有组件连通性与日志输出。

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 OpenClaw;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 openclaw skills install aliyun-openclaw-setup;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

aliyun-openclaw-setup 怎么安装?

在终端执行 openclaw skills install aliyun-openclaw-setup。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

aliyun-openclaw-setup 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

aliyun-openclaw-setup 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。

aliyun-openclaw-setup 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

aliyun-openclaw-setup 用的人多吗?

公开数据是累计安装 2,496 次,近一周安装 104 次,下载 832 次。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。

aliyun-openclaw-setup 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,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
aliyun-openclaw-setup

aliyun OpenClaw 设置 · 本页

2,496—接触敏感数据MIT-0有提醒

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

name
aliyun-openclaw-setup
description
Use when installing or configuring OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.
version
1.0.0

OpenClaw Setup

Deploy OpenClaw on Linux, enable DingTalk, Feishu, Discord, or other documented channels, and verify gateway health.

Use This Workflow

Run this sequence in order:

  1. Prepare Linux runtime and install OpenClaw.
  2. Discover channels from official docs (required for new channel requests).
  3. Install and verify channel integrations.
  4. Create/merge ~/.openclaw/openclaw.json.
  5. Configure and start gateway service.
  6. Run health checks and collect logs.

Prerequisites

  • SSH access to target Linux host (Debian/Ubuntu preferred).
  • DingTalk enterprise app credentials (AppKey, AppSecret) for the official connector, or Feishu app credentials (App ID, App Secret), or Discord bot token.
  • DashScope API key.

Step 1: Prepare Runtime

ssh root@<server>
curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
apt-get install -y nodejs
node --version
npm --version

Step 2: Install OpenClaw and Channel Integrations

npm install -g openclaw@latest
openclaw --version

# DingTalk official connector
openclaw plugins install @dingtalk-real-ai/dingtalk-connector --pin
# or install from official GitHub repo
openclaw plugins install https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector.git
openclaw plugins list | grep dingtalk

# Feishu channel
openclaw plugins install @openclaw/feishu
openclaw plugins list | grep feishu

# Discord channel (built-in, no extra plugin needed)
# Configure token in Step 3 and start gateway in Step 4

If upgrading from old DingTalk plugins, uninstall legacy plugin IDs first and keep only the official connector in plugins.allow.

Step 3: Auto-Discover Additional Channels from Official Docs

When user asks for any extra channel beyond current setup, do this first:

  1. Open https://docs.openclaw.ai/channels/index.
  2. Identify requested channel pages from the "Supported channels" list.
  3. Open each channel page and extract:

- Whether it is built-in or plugin-based. - Exact install command (do not guess package names). - Required credentials/tokens and config keys.

  1. Apply installation/configuration on host.
  2. Record channel-specific notes into ~/.openclaw/openclaw.json.

Use the exact workflow in references/channel-discovery.md.

Step 4: Configure openclaw.json

Create or update ~/.openclaw/openclaw.json with:

  • models.providers.bailian for DashScope endpoint and models.
  • agents.defaults.model.primary in provider/model format, default to bailian/glm-5.
  • models.providers.bailian.models ordered as:

1) qwen3-plus 2) glm-5 3) minimax-m2.5 4) kimi-k2.5

  • agents.defaults.model.fallbacks ordered as:

1) bailian/qwen3-plus 2) bailian/minimax-m2.5 3) bailian/kimi-k2.5

  • channels.dingtalk-connector, channels.feishu, or channels.discord credentials and policy.
  • plugins.allow including installed channel plugins.

Important:

  • Agent-level model config at ~/.openclaw/agents/main/agent/models.json can override ~/.openclaw/openclaw.json.
  • Keep provider definitions aligned in both files when defaults appear not to take effect.
  • Protocol must match endpoint:

- api: openai-completions -> use https://dashscope.aliyuncs.com/compatible-mode/v1 - api: openai-responses -> use https://dashscope.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1

Use the full template in references/config.md. Use DingTalk field mapping in references/dingtalk-setup.md. Use Feishu setup and field mapping in references/feishu-setup.md. Use Discord setup and field mapping in references/discord-setup.md. Use channel discovery workflow in references/channel-discovery.md.

Step 5: Install and Start Gateway

openclaw gateway install
openclaw gateway start
openclaw gateway status

If running with user-level systemd, reload after config changes:

systemctl --user import-environment DASHSCOPE_API_KEY
systemctl --user daemon-reload
systemctl --user restart openclaw-gateway

Step 6: Verify and Troubleshoot

openclaw doctor
openclaw gateway status
openclaw gateway logs -f

Common failures:

  • Plugin not loaded: re-run plugin install and check plugins.allow.
  • Unknown model: check agents.defaults.model.primary format (provider/model-id).
  • API key error: verify models.providers.bailian.apiKey and DASHSCOPE_API_KEY imported in systemd.
  • Config changed but runtime model unchanged: check and update ~/.openclaw/agents/main/agent/models.json.
  • Empty payload / unexpected fallback: verify protocol-endpoint pair (openai-completions vs openai-responses) and clear stale session if needed.
  • DingTalk no response: use openclaw logs --follow and check gateway/channels/dingtalk-connector lines for stream reconnect or credential issues.
  • Official connector installed but old probes inconsistent: rely on runtime logs and real message send/receive as source of truth.
  • Feishu no response: check event subscription mode is WebSocket and gateway is running.
  • Discord no response: verify bot intents, token, and first-DM pairing approval.

Security Notes

  • Do not hardcode real secrets in repository files.
  • Keep production keys in server-local configs or secret managers.
  • Redact logs before sharing in tickets or chat.

Validation

mkdir -p output/aliyun-openclaw-setup
echo "validation_placeholder" > output/aliyun-openclaw-setup/validate.txt

Pass criteria: command exits 0 and output/aliyun-openclaw-setup/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-openclaw-setup/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. 2) Run one minimal read-only query first to verify connectivity and permissions. 3) Execute the target operation with explicit parameters and bounded scope. 4) Verify results and save output/evidence files.

平台分布

OpenClaw

82.89%
按下载量换算690

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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