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Data & Analytics @larsderidder Updated 2/26/2026

Agent Content Pipeline OpenClaw Skill - ClawHub

Do you want your AI agent to automate Agent Content Pipeline workflows? This free skill from ClawHub helps with data & analytics tasks without building custom tools from scratch.

What this skill does

Safe content workflow (drafts/reviewed/revised/approved/posted) with human-in-the-loop approval, plus CLI to list/move/review and post to LinkedIn/X. Use when setting up a content pipeline, drafting content, managing review threads, or posting approved content.

Install

npx clawhub@latest install agent-content-pipeline

Full SKILL.md

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agent-content-pipelineSafe content workflow (drafts/reviewed/revised/approved/posted) with human-in-the-loop approval, plus CLI to list/move/review and post to LinkedIn/X. Use when setting up a content pipeline, drafting content, managing review threads, or posting approved content.

Content Pipeline Skill

Safe content automation with human-in-the-loop approval. Draft → Review → Approve → Post.

Setup

npm install -g agent-content-pipeline
content init . # Creates folders + global config (in current directory)

For cryptographic approval signatures (password-protected):

content init . --secure

This creates:

  • drafts/ — work in progress (one post per file)
  • reviewed/ — human reviewed, awaiting your revision
  • revised/ — you revised, ready for another look
  • approved/ — human-approved, ready to post
  • posted/ — archive after posting
  • templates/ — review and customize before use
  • .content-pipeline/threads/ — feedback thread logs (not posted)

Your Permissions

Can do:

  • Write to drafts/
  • Read all content directories
  • Revise drafts based on feedback
  • Move revised files to revised/
  • Run content list to see pending content

Cannot do:

  • Move files to approved/ (only the human can approve)
  • Post content
  • Set status: approved

Creating Content

One post per file. Each suggestion or draft should be a single post, not a collection.

File naming: YYYY-MM-DD-<platform>-<slug>.md

Use frontmatter:

---
platform: linkedin    # linkedin | x | reddit (experimental)
title: Optional Title
status: draft
subreddit: programming  # Required for Reddit
---

Your content here.

Tell the human: "Draft ready for review: content review <filename>"

The Review Loop

drafts/ → reviewed/ → revised/ → approved/ → posted/
              ↑          │
              └──────────┘
               more feedback
  1. You write draft to drafts/
  2. Human runs content review <file>:
    • With feedback → file moves to reviewed/, you get notified
    • No feedback → human is asked "Approve?" → moves to approved/
  3. If feedback: you revise and move to revised/
  4. Human reviews from revised/:
    • More feedback → back to reviewed/
    • Approve → moves to approved/
  5. Posting happens manually via content post

After Receiving Feedback

When you get review feedback:

  1. Read the file from reviewed/
  2. Apply the feedback
  3. Move the file to revised/
  4. Confirm what you changed
  5. (Optional) Add a note: content thread <file> --from agent

Platform Guidelines

LinkedIn

  • Professional but human
  • Idiomatic language (Dutch for NL audiences, don't be stiff)
  • 1-3 paragraphs ideal
  • End with question or CTA
  • 3-5 hashtags at end

X (Twitter)

  • 280 chars per tweet (unless paid account)
  • Punchy, direct
  • 1-2 hashtags max
  • Use threads sparingly
  • If Firefox auth fails, you can paste auth_token and ct0 manually

Manual cookie steps:

  1. Open x.com and log in
  2. Open DevTools → Application/Storage → Cookies → https://x.com
  3. Copy auth_token and ct0

Reddit (experimental)

  • Treat as experimental; API and subreddit rules can change
  • Requires subreddit: in frontmatter
  • Title comes from frontmatter title: (or first line if missing)
  • Match each subreddit's rules and tone

Commands Reference

content list                    # Show drafts and approved
content review <file>           # Review: feedback OR approve
content mv <dest> <file>        # Move file to drafts/reviewed/revised/approved/posted
content edit <file>             # Open in editor ($EDITOR or code)
content post <file>             # Post (prompts for confirmation)
content post <file> --dry-run   # Preview without posting
content thread <file>           # Add a note to the feedback thread

Security Model

The security model separates drafting (AI) from approval/posting (human):

  • ✅ Agent drafts content
  • ✅ Agent revises based on feedback
  • ❌ Agent cannot approve (human approves via content review)
  • ❌ Agent cannot post

Posting is handled manually via CLI — never by the agent directly.

Platform-specific security

Platform Auth Storage Encrypted? Password Required?
LinkedIn Browser profile ✅ Yes ✅ Yes
X/Twitter Firefox tokens ✅ Yes ✅ Yes

Both platforms require password to post. Tokens are extracted from Firefox and encrypted locally.

Original URL: https://github.com/openclaw/skills/blob/main/skills/larsderidder/agent-content-pipeline

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