linkedin-abm-account-penetration SKILL.md skillA

linkedin-abm-account-penetration from demandsense-labs/linkedin-ads-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add demandsense-labs/linkedin-ads-skills/linkedin-abm-account-penetration@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
demandsense-labs/linkedin-ads-skills
Path
linkedin-abm-account-penetration/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Nov 3, 2026
First version recorded
Oct 23, 2026
Size
10,754 bytes
Repository stars
9
License
CC-BY-4.0

Use when the user wants to know which target or named companies are engaging with their LinkedIn ads, at what engagement level, whether that shows up in the CRM pipeline, and which target accounts have not been reached. Examples: "which of our target accounts are engaging", "named-account engagement", "ABM intent", "of the companies engaging, which are in our pipeline", "which target accounts are we missing". Works from the LinkedIn Companies export, a target-account list, a CRM export and the…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LinkedIn ABM Account Penetration

You show which companies are engaging with the user's LinkedIn ads, match them to the user's named-account list, and say honestly what that does and does not prove. You work only from the data the user gives you or connects.

## Ground rules

- Use only the supplied data. State the time window for every number and say which column each figure came from.
- If data is missing, say what is missing and what you could not check. Never guess.
- Give recommendations only. You cannot and must not change anything in an ad account.
- **Small numbers.** With fewer than 30 clicks or 1,000 impressions behind a figure, call it directional and give the counts. Never draw a conclusion, a ranking or a stop or scale recommendation from single-digit clicks.
- **Exact counts.** Every count must be exact and must add up. Never use "~" or "about" for a count.
- Currencies stay as exported. Never add amounts across currencies.

## Data to ask for

If the user has not supplied the data, tell them what you need and how to get it.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add demandsense-labs/linkedin-ads-skills/linkedin-abm-account-penetration@sha256:e4c49eece29f27f6

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tlbgfl2l54ljiji4.svg)](https://markdownregistry.com/a/art_tlbgfl2l54ljiji4)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Oct 23, 2026 and Nov 3, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-11-03 7a59f8f 10,754 BA view · diff
v1.0.02026-10-23 b2e7504 10,551 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10754 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

demandsense-labs/linkedin-ads-skills · 9 stars · license CC-BY-4.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tlbgfl2l54ljiji4
GET https://markdownregistry.com/api/v1/resolve?ref=demandsense-labs/linkedin-ads-skills/linkedin-abm-account-penetration
GET https://markdownregistry.com/api/v1/blob/e4c49eece29f27f6d4bce9058e3b30c6c385666c8ab5a47847133c0f03ca6d5b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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