amazon-account-growth-operating-system

amazon-account-growth-operating-system is a skill for Codex from nospicyplease/amazon-ppc-advanced-skills. It costs 152 tokens per session (5,627 once invoked), scanned A, original, MIT.

A planning framework for growing an Amazon selling account by combining advertising, product visibility, inventory, margins, search terms, and retail-readiness evidence.

In plain words
What is it for?
Use it to decide which products, campaigns, search terms, budgets, inventory issues, and product-page problems should be addressed first.
Why use it?
It helps turn many separate Amazon signals into a prioritized action plan, while protecting existing sales and avoiding growth that loses money.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to decide which products, campaigns, search terms, budgets, inventory issues, and product-page problems should be addressed first.

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Install with agentmods
npx agentmods add skills/nospicyplease/amazon-ppc-advanced-skills/amazon-account-growth-operating-system
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 nospicyplease/amazon-ppc-advanced-skills --skill amazon-account-growth-operating-system
Clone the repo
git clone --depth 1 https://github.com/nospicyplease/amazon-ppc-advanced-skills

Made for: 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.

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README.md
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Your own site
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<a href="https://agentmods.dev/skills/nospicyplease/amazon-ppc-advanced-skills/amazon-account-growth-operating-system"><img src="https://agentmods.dev/badge/skills/nospicyplease/amazon-ppc-advanced-skills/amazon-account-growth-operating-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,627 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.
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 $0.00152 $0.05627
Opus 5 $0.00076 $0.02814
Sonnet 5 $0.00030 $0.01125
Haiku 4.5 $0.00015 $0.00563

Measured 13d ago against content hash 3d9fb244b374, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

amazon-account-growth-operating-system 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 13d 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-account-growth-operating-system/SKILL.md · 486 lines

How it starts

The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Account Growth Operating System

Purpose

Act as the decision-making and orchestration layer for proactive Amazon account growth. Do not merely summarize metrics. Decide what should happen next, in what order, under which guardrails, and how the account should learn from the result.

Optimize for profitable sales growth, BSR and organic momentum, retail readiness, and wasted-spend reduction. Protect current revenue before scaling new growth.

Upstream Skills

Use this skill after, or alongside, these upstream analyses when available:

  • amazon-ads-performance-drop-diagnosis: Use as the downside input. Pull in ASINs, campaigns, keywords, targets, search terms, BSR movements, retail-readiness blockers, root-cause hypotheses, severity, confidence, and action gates tied to performance decline.
  • amazon-growth-opportunity-finder: Use as the upside input. Pull in ASINs, campaigns, keywords, search terms, product targets, budget-capped winners, BSR momentum, profitable scaling candidates, harvest candidates, priority scores, and confidence.

Do not treat upstream outputs as generic summaries. Treat them as separate evidence layers with their own gates. Preserve the downside skill's actionability gates and the upside skill's evidence thresholds, incrementality checks, retail-readiness gates, and confidence labels.

If one upstream analysis is missing, continue with the available evidence, lower confidence, and state what cannot be concluded. If raw account data is provided instead of upstream summaries, perform the equivalent downside and upside pass before building the operating plan.

Upstream Execution And Conflict Resolution

When the user asks for an account operating plan and the upstream skills are available, run or apply them before finalizing this skill's output:

  1. Use amazon-ads-performance-drop-diagnosis first when there is any decline, risk, performance break, BSR deterioration, conversion drop, TACoS increase, efficiency decline, inventory issue, or important campaign loss. Carry forward its data reliability gate, exact windows, break timeline, root-cause confidence, biggest losers, action gates, and verification plan.
  2. Use amazon-growth-opportunity-finder next for upside. Carry forward its source map, report grains, join-key caveats, commercial-impact scoring, evidence thresholds, incrementality checks, retail-readiness gates, and action rows.
  3. If this skill is used alone with raw data, internally perform both passes: a downside pass using the Performance Drop Diagnosis logic and an upside pass using the Growth Opportunity Finder logic. State that the upstream skills were not separately run if that is true.
  4. If the upstream skills disagree, resolve the conflict in the operating plan rather than averaging them:
    • High-confidence Protect or action-gated recovery findings override scale recommendations until the risk is fixed or explicitly accepted.
    • A high-upside opportunity with a retail-readiness, margin, inventory, or Featured Offer / Buy Box blocker becomes Fix Before Scaling.
    • A profitable campaign tied mostly to branded or defensive traffic becomes Controlled Scale, Defensive Advertising, or Investigate unless total-sales, TACoS, and incrementality evidence support expansion.
    • A low-confidence downside finding should not block high-confidence, reversible growth, but it should add monitoring and approval requirements.
    • A high-confidence waste finding can fund growth only when the spend is isolated and not protecting rank, launch velocity, brand defense, or strategic market share.
  5. Transfer upstream action gates directly:
    • Do not recommend bid, budget, negative, pause, relaunch, or structural execution if the Performance Drop Diagnosis action gate says the evidence is not action-safe.
    • Do not recommend exact harvesting, negatives, bid-downs, budget increases, placement changes, or rank-growth spend unless the Growth Opportunity Finder thresholds and readiness gates are met.
    • When gates are not met, use Investigate, Monitor Only, controlled test, or retail-readiness fix actions.

Read the full file on GitHub · 486 lines

Files

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.

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. 13d ago First seen · 486 lines · 152 tokens per session scan A 3d9fb244b374

Subscribe to this mod's changes

amazon-account-growth-operating-system is a skill published in the GitHub repository nospicyplease/amazon-ppc-advanced-skills (14 stars, last pushed 3mo ago), licensed MIT. It adds 152 tokens to every session and 5,627 once invoked, about $0.0008 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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