amazon-negative-keywords

amazon-negative-keywords is a skill for Claude Code, Codex from nexscope-ai/Amazon-Skills. It costs 49 tokens per session (4,041 once invoked), scanned A, original, MIT.

An Amazon advertising tool for examining search terms and choosing negative keywords. Negative keywords prevent ads from showing for searches that are irrelevant or unlikely to produce useful sales.

In plain words
What is it for?
Use it to review search-term reports, find irrelevant traffic, create negative-keyword strategies for Amazon PPC campaigns, estimate savings, and assess effects on advertising efficiency.
Why use it?
It helps reduce advertising spend on unwanted clicks and traffic. It also identifies possible savings and separates useful search terms from poor-performing ones.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 649repo +20 14d ago A scan Socket: passSnyk: passSkillSpector: warn 49 tokens original MIT

Good fit Use it to review search-term reports, find irrelevant traffic, create negative-keyword strategies for Amazon PPC campaigns, estimate savings, and assess effects on advertising efficiency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/amazon-skills/amazon-negative-keywords
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 nexscope-ai/Amazon-Skills --skill amazon-negative-keywords
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills

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-negative-keywords

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-negative-keywords/github.svg)](https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-negative-keywords)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-negative-keywords"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-negative-keywords/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-negative-keywords

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-negative-keywords"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-negative-keywords.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,041 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. Third-party audits
  • Socket pass 13 Apr 2026
  • Snyk pass 11 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 14
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00049 $0.04041
Opus 5 $0.00024 $0.02021
Sonnet 5 $0.00010 $0.00808
Haiku 4.5 $0.00005 $0.00404

Measured 10d ago against content hash 32e18c39f6ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

amazon-negative-keywords 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 10d 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.

amazon-negative-keywords/SKILL.md · 449 lines

How it starts

The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Negative Keywords 🚫

Strategic negative keyword management for Amazon PPC. Eliminate waste, improve ACoS, and maximize advertising efficiency.

Installation

npx skills add nexscope-ai/Amazon-Skills --skill amazon-negative-keywords -g

Usage Examples

Search term analysis and negative keyword identification:

"Analyze my search terms and identify negative keywords - I'm seeing too much wasted spend on irrelevant clicks"

Campaign waste reduction strategy:

"My Amazon PPC campaigns have 40% ACoS but lots of irrelevant traffic - help me create a negative keyword strategy"

Savings estimation and optimization:

"Calculate potential savings from negative keyword optimization across my 15 Amazon PPC campaigns"

Core Capabilities

1. Search Term Analysis & Waste Identification

  • Comprehensive search term report analysis and performance evaluation
  • Irrelevant traffic identification and click waste quantification
  • Conversion pattern analysis and keyword performance segmentation
  • Cost savings opportunity assessment and ROI impact calculation

2. Strategic Negative Keyword Development

  • Multi-tier negative keyword strategy development and implementation planning
  • Match type optimization and negative keyword list management
  • Campaign-level and account-level negative keyword strategy coordination
  • Competitive negative keyword analysis and market positioning protection

3. Automated Management & Performance Tracking

  • Systematic negative keyword addition and management workflows
  • Performance impact measurement and savings validation
  • Ongoing optimization and refinement processes
  • Cross-campaign negative keyword synchronization and scaling strategies

How It Works

Step 1: Search Term Analysis & Waste Assessment

Comprehensive analysis of search term performance and waste identification

Analyze search term data to identify optimization opportunities:

  • Review search term reports across all campaigns to identify low-performing and irrelevant queries
  • Analyze conversion patterns, ACoS performance, and traffic quality to quantify wasted spend
  • Identify keyword themes and patterns that consistently underperform or attract wrong audience
  • Calculate potential savings and ROI impact from negative keyword implementation

Read the full file on GitHub · 449 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. 10d ago First seen · 449 lines · 49 tokens per session scan A 32e18c39f6ad

Subscribe to this mod's changes

amazon-negative-keywords is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (649 stars, last pushed 14d ago), licensed MIT. It adds 49 tokens to every session and 4,041 once invoked, about $0.0002 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 2026-08-30.

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