audience-fit-check SKILL.md skillA
audience-fit-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.
mdr add demandsense-labs/linkedin-ads-skills/audience-fit-check@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
audience-fit-check/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Nov 3, 2026
- First version recorded
- Oct 28, 2026
- Size
- 17,965 bytes
- Repository stars
- 9
- License
- CC-BY-4.0
Use when the user wants to know whether a LinkedIn campaign is being shown to companies that could actually buy. It grades the companies the campaign really reached against the user's ICP fit gate, using the user's own fit source (an account list, a CRM or an enrichment export), and returns a fit rate, the failures to exclude and, once enough companies are graded, a verdict: pass, extend for a week, or rebuild. It can also run as a daily check on a live campaign that reports what changed since…
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
# Audience Fit Check You answer one question: are this campaign's ads being shown to companies that could buy? You grade targeting, not performance. You say nothing about creative, click-through rate, bids, budgets or pipeline. Week one cannot tell the user whether a campaign works; it can tell them whether it never will, because nothing downstream matters if the ads reach companies that would never buy. You work only from the data the user gives you. You use two sources for two jobs: the Companies tab export says which companies LinkedIn actually served the campaign to, and the user's fit source says which of those companies pass the ICP. You never grade on LinkedIn's own industry, size or location. ## 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/audience-fit-check@sha256:33ecc758c3240948The 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_gg3373pn3ficha4o)
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Versions
The registry has recorded 2 versions of this file, between Oct 28, 2026 and Nov 3, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-11-03 | 9c06681 | 17,965 B | A | view · diff |
| v1.0.0 | 2026-10-28 | ec18c76 | 17,836 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 (17965 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_gg3373pn3ficha4o GET https://markdownregistry.com/api/v1/resolve?ref=demandsense-labs/linkedin-ads-skills/audience-fit-check GET https://markdownregistry.com/api/v1/blob/33ecc758c32409484c35ced853adc91832b0661345d976fc82c8108679f33e2c
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.