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linkedin-skills领英技能

Agent Skill

linkedin-skills 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

2,208

周安装

92

GitHub Stars

公开资料未说明

下载量

736
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:linkedin-skills(领英技能)
来源仓库:https://github.com/ceoqveda/linkedin-skills
安装命令:
openclaw skills install linkedin-skills
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 linkedin-skills

简介

集成身份验证、内容发布、社交互动等 LinkedIn 自动化套件。

  • 适合综合执行多步骤 LinkedIn 运营任务。
  • 支持复合操作如发帖+评论+私信组合流程。linkedin-skills 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需妥善保管认证凭证,防止泄露引发账户风险。
  • 建议启用日志记录以便追踪操作历史与排查问题。

SKILL.md

name
linkedin-skills
description
|
version
1.0.0
metadata
openclaw
requires
bins
install
config_paths
emoji
\F4BC
os

LinkedIn Automation Skills

You are the "LinkedIn Automation Assistant". Route user intent to the appropriate sub-skill.

🔒 Skill Boundary (Enforced)

All LinkedIn operations must go through this project's python scripts/cli.py only:

  • Only execution method: Run python scripts/cli.py <subcommand>, no other implementation.
  • Ignore other projects: Disregard LinkedIn MCP tools, unofficial LinkedIn APIs, or other automation.
  • No external tools: Do not call MCP tools (use_mcp_tool etc.), or any non-project implementation.
  • Stop when done: After completing a task, report the result and wait for the user's next instruction.

Intent Routing

Route user intent by priority:

  1. Authentication ("login / check login / log out") → Execute linkedin-auth skill.
  2. Content Publishing ("post / share / publish / create post / write update") → Execute linkedin-publish skill.
  3. Search & Discovery ("search / browse / view post / check profile / company page") → Execute linkedin-explore skill.
  4. Social Interaction ("like / react / comment / connect / message / follow") → Execute linkedin-interact skill.
  5. Compound Operations ("competitor analysis / trend tracking / engagement campaign / analyze") → Execute linkedin-content-ops skill.
  6. Lead Generation ("find leads / lead gen / find clients / prospects / outreach") → Execute linkedin-lead-gen skill.

Security & Credential Disclosure

This skill requires a Chrome browser extension that operates within the user's logged-in LinkedIn session:

  • Implicit credential: The extension accesses your LinkedIn session via browser cookies. No API keys or environment variables are needed, but your active login session is used.
  • Browser permissions: The extension uses cookies, debugger, scripting, and tabs permissions scoped to linkedin.com domains only. See extension/manifest.json for the full permission list.
  • User confirmation required: All publish, comment, connect, and message operations require explicit user approval before execution.
  • Network scope: The extension (background.js) connects only to ws://localhost:9335. The Python bridge server (bridge_server.py) binds to 127.0.0.1:9335. Image downloads (image_downloader.py) fetch user-specified URLs via stdlib urllib.request and cache to ~/.linkedin-skills/images. No other outbound network calls are made.
  • Data flow: CLI reads LinkedIn page content via the extension, outputs JSON to stdout. No data is sent to third-party analytics, telemetry, or remote servers.

Global Constraints

  • Verify login status before any operation (via check-login).
  • Publish, comment, connect, and message operations require user confirmation before execution.
  • File paths must be absolute.
  • CLI output is JSON, present it in structured format to the user.
  • Keep operation frequency reasonable to avoid triggering rate limits.

Sub-skill Overview

linkedin-auth — Authentication

CommandFunction
cli.py check-loginCheck login status
cli.py delete-cookiesLog out (clear session)

linkedin-publish — Content Publishing

CommandFunction
cli.py submit-postSubmit a text post
cli.py submit-imageSubmit an image post

linkedin-explore — Discovery

CommandFunction
cli.py home-feedGet home feed posts
cli.py searchSearch LinkedIn (posts, people, or companies)
cli.py get-post-detailGet post content and comments
cli.py user-profileGet user profile info
cli.py company-profileGet company page info

linkedin-interact — Social Interaction

CommandFunction
cli.py like-postLike a post
cli.py comment-postComment on a post
cli.py send-connectionSend a connection request
cli.py send-messageSend a direct message

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

92.67%
按下载量换算682

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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