ads-linkedin SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ads-linkedin from naveedharri/benai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add naveedharri/benai-skills/ads-linkedin@git:20260916.a3b1e15Pins git:20260916.a3b1e15 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- naveedharri/benai-skills
- Path
plugins/ads/skills/ads-linkedin/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260916.a3b1e15, committed Sep 16, 2026
- First version recorded
- Feb 20, 2026
- Size
- 4,749 bytes
- Repository stars
- 78
- License
- MIT
LinkedIn Ads deep analysis for B2B advertising. Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, and predictive audiences. Use when user says "LinkedIn Ads", "B2B ads", "sponsored content", "lead gen forms", "InMail", or "LinkedIn campaign".
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 Ads Deep Analysis ## Process 1. Collect LinkedIn Ads data (Campaign Manager export, Insight Tag status) 2. Read `ads/references/linkedin-audit.md` for full 25-check audit 3. Read `ads/references/benchmarks.md` for LinkedIn-specific benchmarks 4. Read `ads/references/scoring-system.md` for weighted scoring 5. Evaluate all applicable checks as PASS, WARNING, or FAIL 6. Calculate LinkedIn Ads Health Score (0-100) 7. Generate findings report with action plan ## What to Analyze ### Technical Setup (25% weight) - Insight Tag installed and firing on all pages (L01) - Conversions API (CAPI) active — launched 2025 (L02) - Conversion events configured for full funnel - Revenue attribution tracking enabled ### Audience Targeting (25% weight) - Job title targeting uses specific titles, not just functions (L03) - Company size filtering matches ICP (L04) - Seniority level appropriate for offer (L05) - Matched Audiences active: retargeting + contact lists (L06) - ABM company lists uploaded (up to 300,000 companies) (L07) - Audience expansion OFF for precision campaigns, ON for scale (L08) - Predictive audiences tested — replaced Lookalikes Feb 2024 (L09) …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/ads-linkedin@sha256:7ba74df1a75a2e43The line at the top of this page pins the label git:20260916.a3b1e15, 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_trn45cjju34iz54y)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Feb 20, 2026 and Sep 16, 2026, about one every 69 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.a3b1e15 latest | 2026-09-16 | a3b1e15 | 4,749 B | A | view · diff |
| git:20260223.63345e4 | 2026-02-23 | 63345e4 | 4,718 B | A | view · diff |
| git:20260220.af6c644 | 2026-02-20 | af6c644 | 4,929 B | A | view · diff |
| git:20260220.2384c96 | 2026-02-20 | 2384c96 | 4,941 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 (4749 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
naveedharri/benai-skills · 78 stars · license MIT · pushed 2026-10-09 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_trn45cjju34iz54y GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/ads-linkedin GET https://markdownregistry.com/api/v1/blob/7ba74df1a75a2e43a4bc4e577921c97063cfd5d63b8d7373d7c424f0d198f875
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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