ClawHub

Linkedin Post Audit

Other

Audit LinkedIn post drafts for algorithm compliance, AI cues, structure, and length; provides pass/fail results with detailed fixes and posting advice.

Install

openclaw skills install linkedin-post-audit

LinkedIn Post Audit

Run any post draft through the 2026 heuristic checklist. Catches AI tells, timing/format issues, length violations, and structural weaknesses before publishing.

When to use

  • Before publishing a hand-written or AI-drafted post
  • When linkedin-post-writer finishes a draft (auto-invoked)
  • When a recent post didn't land and the user wants a post-mortem

Input

  • A post draft (plain text)
  • Optional: target audience, scheduled time, format (text / carousel / video / image)

Output

  • Pass/Fail header
  • Blockers (must fix before publishing): em dashes, AI vocab, external links in body
  • Warnings (ship-risky): uniform sentence rhythm, missing numbers, generic close
  • Score estimates: OriginalityAI AI-likelihood, approximate first-hour reach fit
  • Suggested fixes: inline rewrites for each issue
  • Timing recommendation: best window given audience

Checks

Blockers (auto-fail)

  1. Em dash / en dash / double dash present
  2. External link in body (not in first comment)
  3. Post exceeds 3,000 chars (LinkedIn hard limit)
  4. Opens with "In today's fast-paced world..." or similar
  5. Ends with "What do you think?" or "Thoughts?"
  6. Contains AI vocabulary blacklist words (see references/ai-tells.md)
  7. Frames LinkedIn as inferior in a LinkedIn post (algo penalty)

Warnings (flag with suggested fix)

  1. Hook doesn't fit in first 210 chars (mobile …see more cutoff)
  2. Length outside 900-1,300 sweet spot (or 1,500-1,900 for long-form with breaks)
  3. Uniform sentence length (all 15-22 words)
  4. No specific number per 100 words
  5. No named entity
  6. No first-person sensory detail
  7. Rule-of-three list without receipts
  8. More than 2 hashtags
  9. User's own product named more than once
  10. Missing reaction-prompting moment (vulnerability, stakes, question)
  11. Passive voice >10%

Info (neutral notes)

  1. Suggested posting time given audience
  2. Format recommendation (text / carousel / video) given topic
  3. Similar-hook detection: if this post's first 100 chars match a recent post

Steps

  1. Parse draft into sentences, paragraphs, first-210-char hook.
  2. Run each blocker check; collect failures.
  3. If any blockers, return FAIL with specific fix suggestions; optionally offer auto-rewrite.
  4. If no blockers, run warnings.
  5. Estimate OriginalityAI score (heuristic proxy: avg sentence length variance, unique 3-gram ratio, passive voice ratio).
  6. Return structured report.

Example

Input: "In today's fast-paced world, businesses are fundamentally leveraging AI to unlock massive ROI — here's what I learned..."

Output:

  • FAIL (3 blockers)
  • L1 "In today's fast-paced world" (filler opener)
  • L1 "fundamentally" (AI vocab)
  • L1 "leveraging" (AI vocab)
  • L1 em dash —
  • Suggested rewrite: "Businesses are using AI to cut costs 40%. Here's what I learned."

Files

  • SKILL.md — this file
  • references/ai-tells.md — complete blacklist + regex patterns
  • references/audit-checklist.md — full 20-point checklist with thresholds

Related skills

  • linkedin-humanizer — aggressive rewrite if audit fails
  • linkedin-post-writer — regenerate draft using a proven formula