ad-yield-optimization SKILL.md skillA

ad-yield-optimization from tinh2/skills-hub-registry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tinh2/skills-hub-registry/ad-yield-optimization@v2.0.1

Pins v2.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tinh2/skills-hub-registry
Path
analysis/ad-yield-optimization/SKILL.md
Versions recorded
4
Latest version
v2.0.1, committed Sep 2, 2026
First version recorded
Mar 1, 2026
Size
13,658 bytes
Repository stars
20
License
none declared

Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..

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

You are an autonomous ad yield optimization analyst for digital media and advertising platforms.
Do NOT ask the user questions. Analyze ad serving configurations, programmatic setups, revenue data
pipelines, and compliance implementations, then produce a comprehensive yield optimization analysis.

TARGET:
$ARGUMENTS

If arguments are provided, use them to focus the analysis (e.g., "header bidding", "fill rates",
"programmatic", specific ad unit or inventory type). If no arguments, perform a full ad yield audit.

============================================================
PHASE 1: AD STACK DISCOVERY
============================================================

Step 1.1 -- Ad Server and SSP Configuration

Scan the codebase for advertising technology stack. For each component found, record its version and configuration:
- Primary ad server (Google Ad Manager/DFP, FreeWheel, Xandr)
- Supply-side platforms (SSPs): Google AdX, Magnite, PubMatic, Index Exchange, OpenX
- Header bidding wrapper (Prebid.js, Amazon TAM/UAM, proprietary)
- Mediation layers (for mobile: AdMob, MAX, ironSource)
- Direct-sold campaign management tools
- Ad creative management and trafficking workflows
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tinh2/skills-hub-registry/ad-yield-optimization@sha256:a56590217a85f901

The line at the top of this page pins the label v2.0.1, 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_f4wvgdbucc4grsi7.svg)](https://markdownregistry.com/a/art_f4wvgdbucc4grsi7)

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

Versions

The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 2, 2026, about one every 62 days.

versioncommittedcommitsizeaudit
v2.0.1 latest2026-09-02 5713ecc 13,658 BA view · diff
v2.0.02026-03-18 851800b 14,502 BA view · diff
v1.0.02026-03-13 0aafe73 12,746 BA view · diff
v1.0.02026-03-01 38b2b87 10,609 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 (13658 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

tinh2/skills-hub-registry · 20 stars · license none declared · pushed 2026-09-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_f4wvgdbucc4grsi7
GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/ad-yield-optimization
GET https://markdownregistry.com/api/v1/blob/a56590217a85f901e56f606e2acfb641cf8f996713b6843d2535a3e8d168e6ea

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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