← 返回 Skills 市场
mpbshhx

LinkedIn Automator

作者 mpbshhx · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
179
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install linkedin-automator
功能描述
Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Use for posting content, scheduling posts, analyzing engagement metric...
使用说明 (SKILL.md)

LinkedIn Automator

Automate your LinkedIn presence: post content, track engagement, generate content ideas, and grow your audience.

Prerequisites

  1. Browser tool enabled in OpenClaw
  2. LinkedIn logged in via browser (use profile with active LinkedIn session)

Quick Commands

# Post content
{baseDir}/scripts/post.sh "Your post content here"

# Post with image
{baseDir}/scripts/post.sh "Content" --image /path/to/image.png

# Get engagement stats for recent posts
{baseDir}/scripts/analytics.sh

# Generate content ideas based on trending topics
{baseDir}/scripts/ideas.sh [topic]

# Engage with feed (like/comment on relevant posts)
{baseDir}/scripts/engage.sh --limit 10

# Schedule a post (requires OpenClaw cron)
{baseDir}/scripts/schedule.sh "Your content" --time "09:00"

Workflows

Posting Content

Use browser automation to post:

  1. Navigate to linkedin.com/feed
  2. Click "Start a post" button
  3. Enter content in the post editor
  4. Optionally attach media
  5. Click "Post" button

For scheduled posts, use OpenClaw cron:

cron add --schedule "0 9 * * 1-5" --payload "Post my LinkedIn content: [content]"

Content Strategy

See references/content-strategy.md for:

  • High-engagement post formats and hook templates
  • Best posting times by region
  • Hashtag strategies (3-5 tags, mix broad + niche)
  • The 4-1-1 posting rule

Engagement Automation

See references/engagement.md for:

  • Comment templates and reply strategies
  • Engagement workflows to grow reach
  • Growth tactics and connection request limits

Analytics Tracking

The analytics script extracts:

  • Impressions per post
  • Engagement rate (likes + comments + shares / impressions)
  • Profile views trend
  • Follower growth
  • Top performing content themes

Browser Selectors

Key LinkedIn selectors (as of 2026):

Post button:    button[aria-label="Start a post"]
Post editor:    div.ql-editor[data-placeholder]
Submit post:    button.share-actions__primary-action
Like button:    button[aria-label*="Like"]
Comment button: button[aria-label*="Comment"]
Profile stats:  section.pv-top-card-v2-ctas

Rate Limits

LinkedIn enforces activity limits. Stay under:

  • Posts: 2–3 per day max
  • Comments: 20–30 per day
  • Connection requests: 100 per week
  • Profile views: Natural browsing pace only

Troubleshooting

  • Login required: Ensure browser profile has an active LinkedIn session
  • Rate limited: Reduce activity, wait 24h before resuming
  • Selector not found: LinkedIn may have updated UI — check and update selectors
  • Post blocked: Review LinkedIn content policies; avoid spam-like patterns
安全使用建议
This skill appears internally consistent with its LinkedIn automation purpose. Before installing, be aware: (1) it requires the agent's browser tool and an active LinkedIn login — granting browser access lets the skill interact with your logged-in session and upload local images; only enable it if you trust the skill. (2) The automation patterns (mass commenting, engagement pods, scheduling) can trigger LinkedIn rate limits or violate LinkedIn policies and could lead to account restrictions — use conservative rate limits and review comment templates. (3) Review the bundled scripts (post.sh, engage.sh, etc.) yourself to confirm they only instruct browser actions you expect. (4) If you are concerned about autonomous actions, prefer manual/user-invoked use or disable autonomous invocation for this skill where your platform permits.
功能分析
Type: OpenClaw Skill Name: linkedin-automator Version: 1.1.0 The 'linkedin-automator' skill bundle provides a set of shell scripts and markdown instructions designed to guide an AI agent in automating LinkedIn activities such as posting, engagement, and analytics via a browser tool. The scripts (e.g., post.sh, analytics.sh, and schedule.sh) function as instruction generators for the agent rather than executing direct attacks or hidden payloads. The bundle includes comprehensive documentation on LinkedIn strategy and explicitly warns about platform rate limits. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested browser permissions are strictly necessary for the stated functionality.
能力评估
Purpose & Capability
Name/description match the delivered artifacts: scripts and documentation all focus on posting, scheduling, engagement, idea generation, and analytics on LinkedIn. Required tools (browser + logged-in session) are exactly what is needed; no unrelated credentials or services are requested.
Instruction Scope
SKILL.md and the included shell scripts consistently instruct the agent to use browser automation to navigate linkedin.com, interact with UI selectors, and optionally upload local images or schedule cron jobs. The instructions do not ask the agent to read unrelated system files or export data to external endpoints beyond LinkedIn. They do include engagement templates and pod tactics (which are part of the stated growth purpose) — this is scope-consistent but operationally sensitive (may violate platform rules).
Install Mechanism
No install spec; skill is instruction-only with bundled scripts. Nothing is downloaded from external URLs and there are no extract/install steps, so there is low filesystem/install risk.
Credentials
The skill requests no environment variables, credentials, or config paths. It requires a browser session with LinkedIn logged in, which is proportionate for browser-driven automation. Scripts may reference local image file paths and a content calendar (expected and reasonable).
Persistence & Privilege
Flags show always: false and normal autonomous invocation allowed. The skill does not request permanent platform-wide privileges, nor does it modify other skills or system settings. Scheduling uses the platform's cron tool as documented (no hidden persistence).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkedin-automator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkedin-automator 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
Improved SKILL.md: cleaner frontmatter, fixed metadata format, added engagement reference links, rate limit docs
元数据
Slug linkedin-automator
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

LinkedIn Automator 是什么?

Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Use for posting content, scheduling posts, analyzing engagement metric... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 179 次。

如何安装 LinkedIn Automator?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkedin-automator」即可一键安装,无需额外配置。

LinkedIn Automator 是免费的吗?

是的,LinkedIn Automator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

LinkedIn Automator 支持哪些平台?

LinkedIn Automator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 LinkedIn Automator?

由 mpbshhx(@mpbshhx)开发并维护,当前版本 v1.1.0。

💬 留言讨论