amazon-ppc-campaign

amazon-ppc-campaign is a skill for Claude Code, Codex from liangdabiao/Amazon-Skills-Liang. It costs 199 tokens per session (4,913 once invoked), scanned C, original, no licence file.

An Amazon PPC campaign builder and editor. It creates campaign structures from scratch or audits existing campaigns using search-term reports.

In plain words
What is it for?
Use it to set up automatic and manual campaigns, adjust bids and negative keywords, analyze search terms, calculate target ACoS, and plan weekly improvements.
Why use it?
It helps sellers organize keywords, bids, and exclusions while reviewing advertising performance. ACoS, or advertising cost of sales, compares ad spend with sales attributed to those ads.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to set up automatic and manual campaigns, adjust bids and negative keywords, analyze search terms, calculate target ACoS, and plan weekly improvements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign
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 liangdabiao/Amazon-Skills-Liang --skill amazon-ppc-campaign
Clone the repo
git clone --depth 1 https://github.com/liangdabiao/Amazon-Skills-Liang

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 amazon-ppc-campaign

README.md
[![agentmods](https://agentmods.dev/badge/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign/github.svg)](https://agentmods.dev/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign)
Your own site
<a href="https://agentmods.dev/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for amazon-ppc-campaign

Your own site · 80×15
<a href="https://agentmods.dev/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign"><img src="https://agentmods.dev/badge/skills/liangdabiao/amazon-skills-liang/amazon-ppc-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 199 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,913 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00199 $0.04913
Opus 5 $0.00100 $0.02457
Sonnet 5 $0.00040 $0.00983
Haiku 4.5 $0.00020 $0.00491

Measured 12d ago against content hash af56091b769c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

amazon-ppc-campaign scanned grade C with 2 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch-competitor.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

另外,使用亚马逊自动完成扩展关键词:`curl -s "https://completion.amazon.com/api/2017/suggestions?mid=ATVPDKIKX0DER&alias=aps&prefix=<URL-ENCODED-KEYWORD>" | python3 -c "import sys,json; [print(s['value']) for s in json.load(sys.stdin).get

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

另外,使用亚马逊自动完成扩展关键词:`curl -s "https://completion.amazon.com/api/2017/suggestions?mid=ATVPDKIKX0DER&alias=aps&prefix=<URL-ENCODED-KEYWORD>" | python3 -c "import sys,json; [print(s['value']) for s in json.load(sys.stdin).get
skills/amazon-ppc-campaign/SKILL.md · 337 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 337 lines · 199 tokens per session scan C af56091b769c

Subscribe to this mod's changes

amazon-ppc-campaign is a skill published in the GitHub repository liangdabiao/Amazon-Skills-Liang (56 stars, last pushed 4mo ago), with no licence file. It adds 199 tokens to every session and 4,913 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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