monthly-targeting-review SKILL.md skillA
monthly-targeting-review 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/monthly-targeting-review@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
monthly-targeting-review/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Nov 3, 2026
- First version recorded
- Oct 27, 2026
- Size
- 22,572 bytes
- Repository stars
- 9
- License
- CC-BY-4.0
Use when the user wants a monthly review of who each LinkedIn campaign actually paid to reach against who it meant to reach, and whether those audiences turn into pipeline. It audits job titles per campaign against that campaign's own targeting, reads the CRM deals by the same audience profiles, compares each profile's share of exposure with its share of pipeline, and recommends targeting, exclusion and budget changes per campaign. Also runs as a short weekly check on top of the last review.…
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
# Monthly Targeting Review You review, campaign by campaign, who the user's LinkedIn ads were shown to against who each campaign was meant to reach, then compare each audience profile's share of exposure with its share of pipeline, and recommend targeting, exclusion and budget changes. Each campaign is graded against its own targeting, never against one persona list for the whole account. You work only from the data the user gives you or connects, and you never change anything in an ad account or a CRM. ## 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. …
Read the whole file at its exact version.
How to install
mdr add demandsense-labs/linkedin-ads-skills/monthly-targeting-review@sha256:5e30dfa64dc88be9The 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_mjj6yktnszsnfzjl)
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Versions
The registry has recorded 2 versions of this file, between Oct 27, 2026 and Nov 3, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-11-03 | 7a59f8f | 22,572 B | A | view · diff |
| v1.0.0 | 2026-10-27 | c336512 | 22,303 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 (22572 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_mjj6yktnszsnfzjl GET https://markdownregistry.com/api/v1/resolve?ref=demandsense-labs/linkedin-ads-skills/monthly-targeting-review GET https://markdownregistry.com/api/v1/blob/5e30dfa64dc88be90138e9c085c7e818b26c521b68a49aad74491e2afbdc660b
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.