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Ingest Linkedin

ASecurity

Ingest LinkedIn posts into the wiki. Supports pasted text or cookie-based auth for URL fetching.

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  • Added September 12, 2026
content-marketingbashgit

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Pro scans all 2 files and shows the line behind each finding

Scanned September 12, 2026

npx -y skills add aibot88/sec_skill_store --skill ingest-linkedin --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: ingest-linkedin
description: Ingest LinkedIn posts into the wiki. Supports pasted text or cookie-based auth for URL fetching.
user-invocable: false
allowed-tools: Bash(curl *) Read Write Edit Glob Grep
content-pipeline:
  - pipeline:scan
  - platform:linkedin
  - role:scanner
---

# Ingest LinkedIn Post

Extract LinkedIn post content and create wiki pages.

## Detect Input Type

- Input starts with `http` → **URL approach** (cookie auth)
- Otherwise → **Pasted text** (always works)

## Approach 1: Pasted Text

Parse the pasted content to extract:
- **Author name** — first line or clearly identifiable name
- **Post text** — main body
- **Date** — if visible, otherwise use today
- **Hashtags** — extract any #hashtags for tags

## Approach 2: Cookie-Based Auth (URL)

1. Use the `firefox-cookies` skill to get cookies for `linkedin.com`
2. Fetch the post:
```bash
curl -sL -H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \
  -H "$COOKIE_HEADER" "<linkedin-url>"
```
3. Parse HTML — try in order:
   - JSON-LD (`<script type="application/ld+json">`)
   - Post content in `feed-shared-update-v2__description` divs
   - Author from `feed-shared-actor__name` spans
4. **If auth fails** (403, empty, no cookies): tell user to paste the post text and re-run. Stop.

## Save Raw Content

Save to `$VAULT/raw/linkedin-<author-slug>-<date>.md`:
```yaml
---
source-url: "<linkedin-url or 'pasted'>"
title: "<post summary>"
author: "<author-name>"
date-fetched: <today>
source-type: social
platform: linkedin
---
```

## Create Wiki Source Note

Create `$VAULT/wiki/sources/linkedin-<title-slug>.md`:
```yaml
---
title: "<Post Summary>"
date-created: <today>
date-modified: <today>
page-type: source-note
domain: <vault-default-domain>
tags: [linkedin, <hashtags>, <topic-tags>]
sources: ["<linkedin-url>"]
related: []
source-type: social
author: "<Author Name>"
date-accessed: <today>
raw-file: "raw/linkedin-<author-slug>-<date>.md"
---
```

Sections: **Author** (name + headline), **Post** (full text), **Key Takeaways** (3-5 bullets), **Sources** (link).

## Notes

- Pasted text is the most reliable method — LinkedIn HTML changes frequently
- Never store cookies or auth tokens in wiki pages or raw files

## Dependencies

- `curl` — HTTP requests
- `firefox-cookies` skill — optional, for URL-based fetching

## See also

- [`ronan-skills/linkedin-scan`](https://github.com/RonanCodes/ronan-skills/blob/main/skills/linkedin-scan/SKILL.md) — generic sibling for reading LinkedIn posts (URL with cookie auth, pasted text, or profile feed) without vault persistence. Use this skill when you want to keep the content.

Files in this skill

  • SKILL.md2.6 KB
  • source.json609 B

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