amazon-keyword-traffic-analysis

amazon-keyword-traffic-analysis is a skill for Codex from SerendipityOneInc/ZooData-Skills. It costs 109 tokens per session (2,524 once invoked), scanned A, original, MIT.

An Amazon keyword and product-traffic analysis tool. Keywords are the search terms shoppers enter, and an ASIN is Amazon’s product identification code.

In plain words
What is it for?
Use it to expand keyword lists, assess target keywords, analyse an ASIN’s traffic, and investigate changes in product visibility.
Why use it?
It helps sellers understand search demand, search-result structure, trends, traffic sources, and unusual changes around products or terms.

Skill for Codex

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

Good fit Use it to expand keyword lists, assess target keywords, analyse an ASIN’s traffic, and investigate changes in product visibility.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis
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 SerendipityOneInc/ZooData-Skills --skill amazon-keyword-traffic-analysis
Clone the repo
git clone --depth 1 https://github.com/SerendipityOneInc/ZooData-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.

agentmods badge for amazon-keyword-traffic-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis/github.svg)](https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis)
Your own site
<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis/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-keyword-traffic-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-keyword-traffic-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,524 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
  • 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 Excessive Agency · line 27
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00109 $0.02524
Opus 5 $0.00055 $0.01262
Sonnet 5 $0.00022 $0.00505
Haiku 4.5 $0.00011 $0.00252

Measured 12d ago against content hash edbb0e222431, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

amazon-keyword-traffic-analysis 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/zoodata.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-keyword-traffic-analysis/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ZooData — Amazon Keyword Intelligence

Respond in the user's language.

Start here

  1. Classify the request: seed-keyword expansion, target-keyword analysis, product traffic analysis, or a single lookup.
    • Route keyword-centered questions about demand, market/SERP structure, trend, value, relevance, or targeting fit to target-keyword analysis. An ASIN may be supporting evidence without changing the keyword-centered subject.
    • Route ASIN-centered questions about traffic health, current traffic terms or sources, channel/term structure, changes, trends, anomalies, or causes to product traffic analysis.
    • Route a broad ASIN traffic analysis, overview, or health check directly to the product traffic health overview. Do not ask the user to choose between structure and change first.
    • For an ASIN × keyword request, route value/fit/relevance questions without movement or causal intent to target-keyword analysis; route visibility, placement, exposure, movement, anomaly, or causal questions to product traffic analysis.
    • If product traffic analysis identifies a term and the follow-up asks about its value, start target-keyword analysis and reuse compatible ASIN traffic evidence. If keyword analysis identifies a product-side movement question, start product traffic analysis and reuse compatible keyword evidence.
  2. Read the local references/cli-contract.md, references/reference.md, and the relevant zoodata.py --help before selecting a tool. The shared contract owns CLI invocation and result handling; reference.md is the sole source for production endpoint availability, parameters, response fields, dates, batching, credits, and API capability boundaries.
  3. Load references/output-rules.md for user-facing rendering and apply execution-guide.md § Final Output Gate on every rendering path. For a single lookup, also load only references/execution-guide.md sections Authority and routing, Execution mode, Structured Field Identity Gate, Interface Failure Stop Gate, Final Output Gate, HTTP Validation Rule, and Credential and Credit Failures; use output-rules.md § Quick Mode Output and do not load a scenario unless the follow-up broadens the request.
  4. For every full-mode request, load the complete references/execution-guide.md, references/evidence-protocols.md, and the applicable scenario guide below. The guide is the sole scenario/stage and Gate contract; evidence protocols operate only inside its active stage. After every retrieval or tool result, apply its Interface Failure Stop Gate before selecting any next capability or command. Route to one applicable scenario, or multiple non-exclusive scenarios only when the guide permits combination:
    • references/scenarios-expand.md
    • references/scenarios-keyword-analysis.md
    • references/scenarios-product-traffic-analysis.md
  5. For a causal, anomaly, or action question, additionally load references/diagnosis-action-protocols.md. Do not load it for a non-diagnostic stage merely because diagnosis is available.
  6. After API retrieval, load only the field-semantic reference needed for the returned data:
    • references/metrics-market-profile.md for market-profile
    • references/metrics-trend-profile.md for trend-profile
    • references/serp-and-rollover.md for SERP or organicRolloverRate
    • references/traffic-observation-semantics.md for traffic-term lists, traffic timelines, or traffic-profile data
  7. Before requesting or interpreting a seller artifact, load references/sqp-field-semantics.md. Treat it as the sole acquisition and field-semantics source for user-provided ABA-SQP or Amazon Ads data.

Read the full file on GitHub · 85 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. 12d ago First seen · 85 lines · 109 tokens per session scan A edbb0e222431

Subscribe to this mod's changes

amazon-keyword-traffic-analysis is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (71 stars, last pushed 3d ago), licensed MIT. It adds 109 tokens to every session and 2,524 once invoked, about $0.0005 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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