# Linkedin Post Audit

> LinkedIn Post Audit

- Skill: `jhamidun/linkedin-post-audit` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add jhamidun/linkedin-post-audit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jhamidun/linkedin-post-audit/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: JHamidun (https://skillmd.com/u/jhamidun)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/jhamidun/linkedin-post-audit

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

### Info (neutral notes)
19. Suggested posting time given audience
20. Format recommendation (text / carousel / video) given topic
21. 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

