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 nexscope-ai/Amazon-Skills --skill amazon-ppc-campaigngit clone --depth 1 https://github.com/nexscope-ai/Amazon-SkillsWrote 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/nexscope-ai/amazon-skills/amazon-ppc-campaign)<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-ppc-campaign"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/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.
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-ppc-campaign"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-ppc-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Supply Chain · line 180 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- 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]
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 | $0.00179 | $0.05848 |
| Opus 5 | $0.00089 | $0.02924 |
| Sonnet 5 | $0.00036 | $0.01170 |
| Haiku 4.5 | $0.00018 | $0.00585 |
Grade B, and why
amazon-ppc-campaign scanned grade B 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 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
Additionally, expand keywords using Amazon autocomplete: `curl -s "https://completion.amazon.com/api/2017/suggestions?mid=ATVPDKIKX0DER&alias=aps&prefix=<URL-ENCODED-KEYWORD>" | python3 -c "import sys,json; [print(s['val Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Additionally, expand keywords using Amazon autocomplete: `curl -s "https://completion.amazon.com/api/2017/suggestions?mid=ATVPDKIKX0DER&alias=aps&prefix=<URL-ENCODED-KEYWORD>" | python3 -c "import sys,json; [print(s['val How it starts
The opening of the file, as written. The whole thing — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon PPC Campaign Optimization 📢
Build profitable PPC campaign structures from scratch, or audit and optimize existing campaigns with data-driven bid adjustments. No API key — works out of the box.
Installation
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc -g
Two Modes
| Mode | When to Use | Input | Output |
|---|---|---|---|
| A — Build | Launching PPC for a new product | Product info + keywords + margins | Complete campaign blueprint + keyword groupings + initial bids |
| B — Optimize | Improving existing campaigns | Campaign data + search term reports + current ACoS | Optimization plan + bid adjustments + negative keyword list |
Capabilities
- ACoS financial framework: Calculate break-even ACoS, target ACoS, and Max CPC from product margins — the foundation for every bid decision
- Campaign architecture design: Build a structured Auto → Broad → Exact funnel with proper negative keyword isolation between campaigns
- Keyword grouping: Organize keywords into campaign buckets with match types and initial bids based on confidence level
- Bid optimization: Apply ACoS-based bid adjustment rules using industry-standard formulas (cut/increase by percentage based on ACoS range)
- Keyword funnel analysis: Identify migration opportunities (Auto→Broad→Exact) and wasted spend (high-click zero-sale terms)
- Negative keyword management: Generate seed lists (cross-campaign, irrelevant terms, generic waste modifiers) and ongoing additions from search term data
- Search term report analysis: Parse user-provided campaign data to find profitable terms, wasteful terms, and optimization gaps
- Competitor ASIN targeting: Build product targeting campaigns aimed at competitor product pages
- Integration chain: Works with amazon-keyword-research for keyword input and amazon-listing-optimization for pre-launch listing quality checks
What ships with it
1 file 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.
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.
- 10d ago First seen · 497 lines · 179 tokens per session scan B 768aa2582b71
amazon-ppc-campaign is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (649 stars, last pushed 14d ago), licensed MIT. It adds 179 tokens to every session and 5,848 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B 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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