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/linkedin-engager-analytics

@3cb3022

Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics". Not for tracking author replies to your comments (use linkedin-thread-monitor).

Use this Skill: https://skilld.dev/gh/sergebulaev/linkedin-skills/linkedin-engager-analytics

This session only. Nothing lands on disk.

referencesoutput-spec.md

≈366 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Mode 2. Engager analytics — output spec

Canonical sample outputs for the engager-analytics report. See SKILL.md for the workflow steps.

Engager roster

# Type Name Title Company Profile ICP tier
1 commenter Author A Director Cosmetics Co linkedin.com/in/... Prospect
2 commenter Author B Senior PM Enterprise SaaS Co linkedin.com/in/... Aspirational
3 liker Author C Founder Solo brand LLC linkedin.com/in/... Peer

Tier breakdown

Tier Definition Count % of total
Peer Founder / operator at company in same niche, 5-50 employees 12 24%
Aspirational Senior leader at 50+ company in adjacent niche 9 18%
Prospect Director / C-suite at company matching ICP 18 36%
Other Doesn't fit any tier 11 22%

Action lists

  • Follow back (peers worth reciprocal engagement): top 5 by activity
  • Comment-drop targets (aspirational creators with their own posts): top 5
  • DM-able prospects (with the rationale): top 5 with one-line opener seed

Example run

Input: analyze engagers on https://www.linkedin.com/posts/<author>_..., max 100

Output:

  • 50 commenters fetched ($0.25)
  • Tier split: 6 Peer / 14 Aspirational / 18 Prospect / 12 Other
  • 3 cross-post engagers detected (also engaged with my post 2 weeks ago)
  • Top 5 DM-able prospects with one-line openers attached

Source: SKILL.md on GitHub

1 warning15d3 checks · Risk SAFE
  • Gen Agent Trust Hub15d

    The skill is functional and includes robust security guidelines for handling untrusted content. However, because it processes external data from LinkedIn (comments and profile info), it has an inherent surface for indirect prompt injection attacks.

  • Socket15d

    No alerts

  • Snyk15d

    Risk: MEDIUM · 1 issue

Signed by skilld at 3cb3022. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 2 weeks ago

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