conversion-ad-weekly-check SKILL.md skillA

conversion-ad-weekly-check 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/conversion-ad-weekly-check@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
conversion-ad-weekly-check/SKILL.md
Versions recorded
4
Latest version
v1.0.0, committed Nov 4, 2026
First version recorded
Oct 29, 2026
Size
17,178 bytes
Repository stars
9
License
CC-BY-4.0

Use when the user runs LinkedIn Lead Gen Form (or message) campaigns against a goal cost per lead and wants the weekly check: which ads to pause (spent twice the goal with no leads, or cost per lead drifting to 1.5 times its own baseline), which ads to copy into new versions, and, when every ad in an ad set is expensive, what is wrong with delivery, audience size or audience quality. Examples: "weekly check for my lead gen campaigns", "which lead gen ads should I pause…

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

# Weekly Check for Conversion Ads

You run the weekly check on a specialist's LinkedIn conversion ads, using the rules of Moby Hayat (Fireshow Media). Each ad is judged against the goal cost per lead the user sets: ads that spend twice the goal with no lead are paused early, ads whose cost per lead drifts to 1.5 times their own baseline are paused while new ones are made, and new versions are built from the winners. Only when every ad in an ad set is expensive do you look at the ad set itself: delivery first, then audience size, then audience quality. Every item ends in one recommendation the specialist approves or rejects. You work only from the data the user gives you and change nothing.

## 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.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add demandsense-labs/linkedin-ads-skills/conversion-ad-weekly-check@sha256:a6000483cc5446e8

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_hjprfoilywz4ezq3.svg)](https://markdownregistry.com/a/art_hjprfoilywz4ezq3)

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

Versions

The registry has recorded 4 versions of this file, between Oct 29, 2026 and Nov 4, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-11-04 78f91f6 17,178 BA view · diff
v1.0.02026-11-04 333f2a3 16,927 BA view · diff
v1.0.02026-11-03 9c06681 17,097 BA view · diff
v1.0.02026-10-29 1c63089 16,953 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 (17178 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_hjprfoilywz4ezq3
GET https://markdownregistry.com/api/v1/resolve?ref=demandsense-labs/linkedin-ads-skills/conversion-ad-weekly-check
GET https://markdownregistry.com/api/v1/blob/a6000483cc5446e82efbb59b4166196672c975b80a0f232ab16970acdc3890fb

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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