kunze-ad-setup

kunze-ad-setup is a skill for Claude Code, Codex from hashgraph-online/awesome-codex-plugins. It costs 53 tokens per session (755 once invoked), scanned A, original, Apache-2.0.

An Amazon advertising campaign setup workflow using broad and phrase keyword matching, which lets ads cover wider variations of a search. It researches competitors, finds gaps in their keyword coverage, and creates a campaign package on disk.

In plain words
What is it for?
Use it to build broad-match and phrase-match campaigns, select competitor product targets, identify gap opportunities, and generate bulk files.
Why use it?
It turns competitor research into a small set of campaigns while highlighting search terms where competitors appear weak or absent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to build broad-match and phrase-match campaigns, select competitor product targets…

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Install with agentmods
npx agentmods add skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hashgraph-online/awesome-codex-plugins --skill kunze-ad-setup
Clone the repo
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kunze-ad-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup.svg)](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup)
Your own site
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 755 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00755
Opus 5 $0.00026 $0.00378
Sonnet 5 $0.00011 $0.00151
Haiku 4.5 $0.00005 $0.00076

Measured yesterday against content hash 34446ee6522e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

kunze-ad-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/BlockchainHB/launchfast_codex_plugin/skills/kunze-ad-setup/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kunze Ad Setup

Inputs

Ask once for:

  • main keyword
  • product SKU
  • optional product name
  • optional budget level: conservative or aggressive
  • optional output path

Defaults:

  • budget level: conservative
  • output directory: ./artifacts/launchfast/campaigns/

Strategy

Kunze’s model favors:

  • broad and phrase coverage
  • one ad group per campaign
  • small keyword sets
  • gap-opportunity terms where competitors rank poorly

Workflow

1. Market research

Run:

research_products(keyword="<main_keyword>", focus="balanced", product_limit=20)

Collect top 10-15 competitor ASINs plus market context.

2. Keyword research

  • Research competitor ASINs in manageable batches of 3-4.
  • Prefer parallel tool calls where possible.
  • Do not require delegation.

Use:

amazon_keyword_research(asins=[...], limit=50, min_search_volume=300)

3. Build the keyword master list

For each keyword compute:

  • overlap across ASIN batches
  • search volume
  • CPC
  • purchase rate
  • relevance
  • competitor coverage
  • gap-opportunity signal

Then select:

  • Broad campaign keywords
  • Phrase campaign keywords
  • ASIN targets
  • Category target placeholder if category ID is unknown

4. Generate bulksheet

Create:

  • Auto campaign
  • Broad campaign
  • Phrase campaign
  • Category targeting campaign
  • ASIN targeting campaign

Use deterministic CSV generation with Python csv.writer.

Use this exact Amazon Bulksheets 2.0 header and column order:

Product,Entity,Operation,Campaign Id,Ad Group Id,Portfolio Id,Ad Id,Keyword Id,Product Targeting Id,Campaign Name,Ad Group Name,Start Date,End Date,Targeting Type,State,Daily Budget,sku,asin,Ad Group Default Bid,Bid,Keyword Text,Match Type,Bidding Strategy,Placement,Percentage,Product Targeting Expression,Audience ID,Shopper Cohort Percentage,Shopper Cohort Type

Deterministic campaign layout:

  • Auto: 1 campaign, 1 ad group, 1 product ad, 4 auto targeting rows
  • Broad: 1 campaign, 1 ad group, 1 product ad, up to 5 broad-match keywords
  • Phrase: 1 campaign, 1 ad group, 1 product ad, up to 5 phrase-match keywords
  • Category: 1 campaign, 1 ad group, 1 product ad, 1 category targeting row
  • ASIN: 1 campaign, 1 ad group, 1 product ad, up to 15 ASIN target rows

Read the full file on GitHub · 125 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 125 lines · 53 tokens per session scan A 34446ee6522e

Subscribe to this mod's changes

kunze-ad-setup is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (935 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 755 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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