amazon-ads

amazon-ads is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 0 tokens per session (5,830 once invoked), scanned A, a copy of 2-chat, MIT.

A connection to Amazon Ads, the advertising system for promoting products across Amazon through targeted ads, sponsored listings, and display campaigns.

In plain words
What is it for?
Reading and writing Amazon Ads data such as targets, ad groups, budget rules, and negative targets.
Why use it?
It lets an agent work with Amazon advertising data through connected tools instead of requiring separate manual requests.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/withoneai/one-agent-plugin/amazon-ads
Any agent
npx skills add withoneai/one-agent-plugin --skill amazon-ads
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

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-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/amazon-ads.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/amazon-ads)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/amazon-ads"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/amazon-ads.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 81% copy Near-identical to another mod 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 $0.00000 $0.05830
Opus 5 $0.00000 $0.02915
Sonnet 5 $0.00000 $0.01166
Haiku 4.5 $0.00000 $0.00583

Measured 3d ago against content hash dbf354bba96b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

amazon-ads 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 3d ago.

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.

Origin

This is a copy

81% identical to 2-chat — 306 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

platforms/one-amazon-ads/skills/amazon-ads/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Ads through One

Amazon Ads is an advertising platform that enables brands to promote their products across Amazon’s ecosystem, helping them reach shoppers through targeted ads, sponsored listings, and display campaigns.

One exposes Amazon Ads through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform amazon-ads if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Amazon Ads is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Amazon Ads account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Targets

Action Method Path Action id
Create Targets POST /adsApi/v1/create/targets conn_mod_def::GJz4bC9HDZQ::wp0g1RjRSsqBO9LxKtJDWg
Create Targets (RAS v1) POST /ras/v1/targets conn_mod_def::GJz4cBNhFOU::QUe0GJ2LQSitncNzXJxIxg
Delete Targets (Bulk) POST /adsApi/v1/delete/targets conn_mod_def::GJz4bWBOWeg::8etlvFWiRYKG4yghqs6LwA
Delete Targets (RAS v1) POST /ras/v1/targets/delete conn_mod_def::GJz4cKBHvU4::_V_fv6yYQQyDgjcAXP7rJQ
List Targets (RAS v1) POST /ras/v1/targets/list conn_mod_def::GJz4cT6xjLs::YZCAgvxTT9OLLzcRH3Cj3Q
Query Targets POST /adsApi/v1/query/targets conn_mod_def::GJz4b4wRZ84::4_GUEE1CTZSt6aD0TQTKEw
Update Targets POST /adsApi/v1/update/targets conn_mod_def::GJz4csjzqMo::BXtU5CaoS0q51DG4oC2KTQ
Update Targets (RAS v1) PUT /ras/v1/targets conn_mod_def::GJz4cdRiR7E::1oy23pPYR4KjKOzA91mS6A

Read the full file on GitHub · 207 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. 3d ago First seen · 207 lines · 0 tokens per session scan A dbf354bba96b

Subscribe to this mod's changes

amazon-ads is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,830 tokens. A static security scan graded it A with 0 findings. It is 81% identical to 2-chat, differing in 306 lines, and is treated as a copy.