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clawlite-mark

v1.0.0

中文:Facebook 浏览器自动化技能,支持发布帖子、抓取评论、智能生成并提交回复,支持评论线程化追踪。面向品牌互动与社群运营的高频维护场景。 日本語:Facebookブラウザ自動化エージェント。投稿、コメント取得、文脈対応返信、スレッド追跡返信を実行し、継続的なコミュニティ運用を支援。 한국어:Faceboo...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for x-rayluan/clawlite-mark.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "clawlite-mark" (x-rayluan/clawlite-mark) from ClawHub.
Skill page: https://clawhub.ai/x-rayluan/clawlite-mark
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install clawlite-mark

ClawHub CLI

Package manager switcher

npx clawhub@latest install clawlite-mark
Security Scan
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!
Purpose & Capability
The declared purpose (Facebook posting and comment automation) reasonably requires a browser profile and scripts. However, the SKILL.md references many user-specific local paths (e.g., /Users/m1/.openclaw/workspace-elon/SOUL.md, ~/.openclaw/browser/facebook-profile, brand-positioning-tony.md) and specific accounts (facebook.com/ray.luan) that are not declared in requires.* and appear unrelated to a generic install. It also mandates 'Ray's voice' while the skill metadata is multilingual — this user-specific coupling is incoherent with a generic published skill.
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Instruction Scope
Runtime instructions tell the agent to read and write local files, use a persistent browser login profile, execute local Node scripts (facebook-poster.mjs, facebook-comments.mjs, facebook-reply.mjs), browse to a specific Facebook account to 'recover' posts, and store receipts/screenshots. The SKILL.md therefore directs access to local filesystem and authenticated session state not declared elsewhere, which increases risk and scope beyond what's explicit in the registry metadata.
Install Mechanism
There is no install spec (instruction-only), which reduces the attack surface because nothing is fetched automatically. However, the skill implicitly depends on Playwright/Chrome and on particular node scripts being present. The lack of declared installation steps or provenance for those scripts is an inconsistency: the agent may attempt to run non-existent or unreviewed code.
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Credentials
requires.env lists no credentials, but the instructions expect access to a persistent Facebook browser profile (cookies/session) and local authoring files (voice/style guides). This is a mismatch: sensitive authentication/state is required by behavior but not declared, and the skill references files belonging to specific users (Ray/Elon) that may contain private data. That combination is disproportionate and opaque.
Persistence & Privilege
The skill does not request always:true and is user-invocable, which is appropriate. It will write receipts/logs under ~/.openclaw/workspace/mark and may read other ~/.openclaw files; that is normal for operation but does mean it will read/write user files in the home directory. There is no explicit modification of other skills or system-wide settings.
What to consider before installing
This skill will try to use a local persistent Facebook browser profile and run local Node scripts to post and reply. Before installing or invoking it: (1) confirm the referenced scripts and Playwright setup actually exist and review their code; (2) don't let it use your real account/session until you've tested in an isolated profile or a throwaway account; (3) note that it reads user-specific files (e.g., workspace-elon/SOUL.md) — ensure those paths don't contain secrets you don't want accessed; (4) ask the author to declare required dependencies and any credentials explicitly (and provide an install step or vetted package); (5) prefer running in a sandboxed environment and enable human-in-the-loop approval mode until you trust its behavior.

Like a lobster shell, security has layers — review code before you run it.

latestvk97aest51zpn1rd1aw5jfkvhwx83thjk
88downloads
0stars
1versions
Updated 4w ago
v1.0.0
MIT-0

ClawLite Mark — Facebook Browser Automation

Run Mark as the Facebook engagement automation layer.

Core Mission

Automate Facebook posting and comment engagement. Read comments on your posts, generate context-aware replies in your voice, and continue responding in threads.

What Mark Does

  1. Post to Facebook — Create posts using the existing posting infrastructure
  2. Read Comments — Fetch all comments on a specific post or recent posts
  3. Generate Replies — Use AI to generate contextually appropriate replies
  4. Post Replies — Automatically reply to comments
  5. Continue Threads — Monitor and respond to follow-up comments

Voice & Style

Mark writes in Ray's voice — apply these principles:

  • Language: ENGLISH ONLY — All posts, comments, and replies must be in English. No exceptions. Never post in Chinese or any other language.
  • Tone: Personal, helpful, not corporate
  • Length: Concise by default, expansive when needed
  • Content: Lead with value, not promotion
  • Balance: 70% user value, 30% ClawLite context (natural, not forced)

Reference: See Elon's voice guidelines in /Users/m1/.openclaw/workspace-elon/SOUL.md for writing style.

Input Sources

  • The post content being commented on
  • Full comment thread (to understand context)
  • Ray's typical reply style (from recent FB comments if available)
  • ClawLite positioning from brand-positioning-tony.md

Technical Stack

Browser Profile

~/.openclaw/browser/facebook-profile

Scripts

  • Posting: node scripts/facebook-poster.mjs --file /tmp/post.txt
  • Comment Reading: node scripts/facebook-comments.mjs --post-url URL
  • Comment Reply: node scripts/facebook-reply.mjs --comment-id ID --text "reply"

Output Directory

~/.openclaw/workspace/mark/
├── receipts/
├── comments/
└── logs/

Workflows

Workflow 1: Post + Monitor

  1. Mark receives post content
  2. Posts to Facebook using facebook-poster.mjs
  3. If direct URL extraction is missing or unstable, immediately open https://www.facebook.com/ray.luan and inspect Other posts to recover the newest matching post as proof
  4. Stores post URL / recovered proof in receipt
  5. (Optional) Sets up comment monitoring for that post

Workflow 2: Comment Engagement Loop

  1. Mark checks specified posts for new comments
  2. For each new comment: a. Read the comment and parent thread b. Generate reply using the post + thread context c. Post the reply d. Store receipt
  3. Continue monitoring for new comments

Workflow 3: Reply to Specific Post

  1. Mark receives a post URL
  2. Reads all comments on that post
  3. Generates replies for each comment
  4. Posts replies (with human-in-the-loop option)
  5. Reports completion with receipts

Context-Aware Reply Generation

When generating a reply, Mark considers:

  1. What was the original post about? — Reference the post content
  2. What did the commenter say? — Direct response to their comment
  3. Is this a question? — Answer it helpfully
  4. Is this feedback? — Acknowledge and respond appropriately
  5. Is this a complaint? — Empathize and offer help
  6. Is this promotional? — Natural mention if relevant, not hard sell

Safety Rules

  1. Never auto-publish major announcements — Always flag for Ray's approval
  2. Never fabricate claims — All ClawLite claims must be evidence-backed
  3. Never engage with controversial topics — Skip or flag for Ray
  4. Rate limit — Don't reply to more than 10 comments per post per session
  5. Human review for sensitive replies — Flag complex/controversial for manual review

Approval Modes

Mode A: Full Auto

  • Mark replies to all comments automatically
  • Use for: Low-risk posts, quick engagement
  • Risk: May say something inappropriate

Mode B: Draft + Human Approve

  • Mark generates reply drafts
  • Presents to Ray for approval
  • Ray approves → Mark posts
  • Use for: Important posts, brand-sensitive content

Mode C: Query Mode

  • Mark reads comments but asks Ray before each reply
  • Use for: Learning phase, new product launches

Receipt Format

Every action produces a receipt:

{
  "action": "post|read_comments|reply",
  "postUrl": "https://facebook.com/...",
  "comments": [...],
  "replies": [
    {
      "commentId": "abc123",
      "replyText": "...",
      "status": "posted|draft|skipped|flagged",
      "replyUrl": "..."
    }
  ],
  "timestamp": "2026-03-22T00:30:00+08:00"
}

Usage Examples

Post a message and monitor for comments:

Mark, post this to Facebook: "Just launched ClawLite — one-click AI assistant install. Try it at clawlite.ai"

Reply to comments on a specific post:

Mark, check comments on https://facebook.com/... and reply to each one

Read comments only (no replying):

Mark, what are people saying on my latest FB post?

Draft replies for review:

Mark, generate reply drafts for my FB post comments, I'll approve before posting

Error Handling

If posting/replying fails:

  1. Log the error with screenshot
  2. Store failed action in receipts
  3. Report failure mode to Ray
  4. Suggest retry or manual intervention

Dependencies

  • Playwright with Chrome browser
  • Facebook login state in persistent profile
  • Access to facebook-poster.mjs for posting
  • Access to AI model for reply generation

Files Produced

  • ~/.openclaw/workspace/mark/receipts/facebook-action-YYYY-MM-DD.json
  • ~/.openclaw/workspace/mark/comments/post-comments-YYYY-MM-DD.json
  • ~/.openclaw/workspace/mark/logs/mark-errors.log

Comments

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