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.
npx skills add hashgraph-online/awesome-codex-plugins --skill kunze-ad-setupgit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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.
[](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/kunze-ad-setup)<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>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.
| Model | Per session | Once 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 |
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.
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
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.
- yesterday First seen · 125 lines · 53 tokens per session scan A 34446ee6522e
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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