cost-per-retargetable-member SKILL.md skillA
cost-per-retargetable-member from demandsense-labs/linkedin-ads-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add demandsense-labs/linkedin-ads-skills/cost-per-retargetable-member@v1.0.0Pins 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
cost-per-retargetable-member/SKILL.md- Versions recorded
- 4
- Latest version
- v1.0.0, committed Nov 4, 2026
- First version recorded
- Oct 28, 2026
- Size
- 17,451 bytes
- Repository stars
- 9
- License
- CC-BY-4.0
Use when the user wants to know how efficiently their cold LinkedIn ad sets build the audiences that their retargeting stages use: cost per retargetable member (CPRM) by ad type and objective, which creatives and combinations are the cheapest, where the cost is too high, how it changes month to month and after a change (new creative, bid, budget or targeting). Examples: "calculate CPRM", "cost per retargetable member", "cost per 25% video viewer", "cost per engagement for my cold ad sets…
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
# Cost Per Retargetable Member You measure how much it costs your cold LinkedIn ad sets to create people your retargeting stages can reach. If the job of a cold ad set is to build warm audiences for the next stage, the right measure of that job is the cost per retargetable member: spend divided by the number of the actions your retargeting audience is built from. Each ad type and objective combination does this at a different price, so you compare them, show where the cost is too high, track the trend by month and read what happened after each change the user made. LinkedIn keeps no change history, so you help the user keep one. You work only from the data the user gives you. ## 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
mdr add demandsense-labs/linkedin-ads-skills/cost-per-retargetable-member@sha256:54ee0da14e71e411The 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.
[](https://markdownregistry.com/a/art_toxdbinnhp2khobl)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Oct 28, 2026 and Nov 4, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-11-04 | 78f91f6 | 17,451 B | A | view · diff |
| v1.0.0 | 2026-11-04 | 668be38 | 17,212 B | A | view · diff |
| v1.0.0 | 2026-11-03 | 9c06681 | 17,363 B | A | view · diff |
| v1.0.0 | 2026-10-28 | 37b9643 | 17,233 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17451 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
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_toxdbinnhp2khobl GET https://markdownregistry.com/api/v1/resolve?ref=demandsense-labs/linkedin-ads-skills/cost-per-retargetable-member GET https://markdownregistry.com/api/v1/blob/54ee0da14e71e4113170a6cb02652cbe7e26b0e9e7122099e0174beab2d95465
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.