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 nospicyplease/amazon-ppc-advanced-skills --skill amazon-ppc-skill-templategit clone --depth 1 https://github.com/nospicyplease/amazon-ppc-advanced-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/nospicyplease/amazon-ppc-advanced-skills/amazon-ppc-skill-template)<a href="https://agentmods.dev/skills/nospicyplease/amazon-ppc-advanced-skills/amazon-ppc-skill-template"><img src="https://agentmods.dev/badge/skills/nospicyplease/amazon-ppc-advanced-skills/amazon-ppc-skill-template/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/nospicyplease/amazon-ppc-advanced-skills/amazon-ppc-skill-template"><img src="https://agentmods.dev/badge/skills/nospicyplease/amazon-ppc-advanced-skills/amazon-ppc-skill-template.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.01042 |
| Opus 5 | $0.00019 | $0.00521 |
| Sonnet 5 | $0.00008 | $0.00208 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
amazon-example-ppc-skill 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Example PPC Skill
Purpose
Replace this with the operator job. A good purpose explains the decision the skill supports, the Amazon entities it reasons about, and the business outcome it protects or improves.
Examples:
- Find search terms ready for exact-match harvesting.
- Diagnose wasted spend without cutting strategic defense traffic.
- Build an inventory-aware PPC scaling plan.
Required Inputs
Gather, derive, or mark unavailable:
- Marketplace, profile/account, currency, timezone, ASIN and campaign scope.
- Exact analysis window and comparison period.
- Relevant Amazon Ads reports and metrics.
- Retail readiness: inventory, Featured Offer / Buy Box, price, reviews, rating, delivery promise, listing status, and conversion.
- Unit economics or target thresholds when profitability matters.
- BSR, organic rank, total sales, and competitor context when rank or incrementality matters.
- Known changes: bids, budgets, placements, negatives, launches, pauses, listings, pricing, promotions, and inventory events.
Data Schema
Document the minimum useful fields for this skill. Replace this placeholder with a concise schema, for example:
- Entity fields: ASIN, campaign ID, ad group ID, keyword ID, target ID, search term, match type, placement, state.
- Performance fields: spend, sales, orders, impressions, clicks, CTR, CPC, CVR, ACoS, ROAS.
- Retail fields: inventory, Featured Offer / Buy Box, price, reviews, rating, margin, BSR, total sales.
- Context fields: date window, comparison window, marketplace, currency, timezone, recent changes.
Safety Gates
Before recommending execution, classify the case as Actionable, Directional, or Non-actionable.
Do not recommend bid, budget, placement, negative, pause, relaunch, or campaign-creation actions unless:
- The data is fresh enough for the decision.
- The entity has enough volume for the claim.
- The action is specific and reversible or clearly risk-assessed.
- Missing margin, inventory, Featured Offer / Buy Box, retail readiness, total sales, or BSR data does not materially change the recommendation.
- The recommendation includes monitoring or rollback criteria.
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.
- 11d ago First seen · 96 lines · 39 tokens per session scan A e3287d096738
amazon-example-ppc-skill is a skill published in the GitHub repository nospicyplease/amazon-ppc-advanced-skills (14 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,042 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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