amazon-market-analysis

amazon-market-analysis is a skill for Claude Code, Codex from SerendipityOneInc/ZooData-Skills. It costs 78 tokens per session (1,639 once invoked), scanned A, original, MIT.

A workflow for analysing markets and products on Amazon, the online marketplace. It can discover potential niches, evaluate a named market, and track changes over time.

In plain words
What is it for?
Use it to find product or category opportunities, assess competition and viability, answer go/caution/avoid questions, or examine market trends.
Why use it?
It helps replace separate, disconnected checks with a defined process for judging market opportunity and entry conditions.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to find product or category opportunities, assess competition and viability, answer go/caution/avoid questions, or examine market trends.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-market-analysis"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-market-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,639 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 $0.00078 $0.01639
Opus 5.5 $0.00031 $0.00656
Sonnet 5.5 $0.00016 $0.00328
Haiku 4.5 $0.00008 $0.00164

Measured 23d ago against content hash dca6dd607b17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazon-market-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 23d 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-market-analysis/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ZooData — Amazon Market Analysis

Respond in the user's language.

Start here

  1. Read and apply references/analysis-contract.md before classifying the request, making an evidence call, or sending user-facing text.
  2. Classify the current question. Route an open-ended "what market/product should I explore?" request to discover; a named category or niche and entry/competition question to evaluate; a change, trend, or watch question to track. A single field or one dated snapshot is a quick lookup. A product/ASIN may support a market question, but a listing audit, competitor war room, or price-setting request belongs to its dedicated skill.
  3. Read references/cli-contract.md and references/reference.md; inspect the selected bundled CLI subcommand's --help. The reference owns production endpoint availability, parameters, response shapes, dates, and credit facts.
  4. Load references/output-rules.md. For a quick lookup, load only references/execution-guide.md sections Authority and routing, Execution mode, Field Identity Gate, Interface Failure Stop Gate, Final Output Gate, and Credential and Credit Failures.
  5. For a full analysis, load the complete references/execution-guide.md, references/evidence-protocols.md, and exactly the applicable scenario: references/scenarios-discover.md, references/scenarios-evaluate.md, or references/scenarios-track.md. The guide owns market stage selection and domain Gate decisions; the scenario owns its evidence and conclusion scope. Reclassify a follow-up from the user's actual question rather than forcing the next story step.
  6. Before interpreting returned market measures, load references/market-metric-semantics.md. Before interpreting seller capital, cost, margin, risk tolerance, or compliance claims, also load references/seller-input-semantics.md.

Source-of-truth boundaries

  • This SKILL.md owns trigger classification, module loading, the responsibility map, and non-negotiable runtime boundaries. It does not define endpoint contracts, workflow procedures, market metric meanings, scenario thresholds, or report templates.
  • references/analysis-contract.md owns the repository-wide rule hierarchy, universal analysis principles and Gates, and user-facing implementation boundary. Every market module may add or narrow domain rules but must not duplicate, weaken, or override it.
  • references/cli-contract.md owns shared CLI invocation, command identity, composite reuse, transport and retry classification, terminal failures, and partial results. It does not select a market scenario or define market fields, interpretation, or output.
  • references/reference.md owns only production API facts: endpoint availability, request and response contracts, category identity, date and sample options, CLI mapping, and credit metadata. It does not decide whether a market is attractive or when to advance a stage.
  • references/execution-guide.md owns the market scenario/stage schema, market-specific Gate decisions, evidence-level conclusion ceilings, and follow-up handoff. It does not redefine the shared analysis contract, API fields, detailed evidence procedures, or scenario-specific capability maps.
  • references/evidence-protocols.md owns shared acquisition, identity matching, comparison, coverage, reconciliation, and evidence reuse inside an active stage. It does not select a stage or render the report.
  • references/market-metric-semantics.md owns the meaning, denominator, time grain, and inference limits of returned market fields. It does not define request parameters, stage transitions, or business verdicts.
  • references/seller-input-semantics.md owns seller-provided inputs, unit-economics calculations, and the limits of capital and compliance evidence. It does not redefine API contracts or independently issue a verdict.
  • references/output-rules.md owns market-specific localized rendering, the report skeleton, confidence labels, provenance, and usage accounting within the shared user-facing boundary. It does not redefine that boundary, select stages, or raise conclusion authority.
  • Scenario files own only their specific entry inputs, capability selection, stage evidence, conclusion authority, and section content. They may narrow an owner rule but cannot restate or override it. scenarios-discover.md owns market and product candidate discovery; scenarios-evaluate.md owns entry assessment; scenarios-track.md owns trend and explicitly opted-in monitoring.
  • {skill_base_dir}/scripts/zoodata.py owns CLI request construction and transport metadata, not analysis policy. README.md is a human-facing package index only and does not set runtime rules.

Read the full file on GitHub · 68 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. 23d ago First seen · 68 lines · 78 tokens per session scan A dca6dd607b17

Subscribe to this mod's changes

amazon-market-analysis is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (76 stars, last pushed 6d ago), licensed MIT. It adds 78 tokens to every session and 1,639 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-23.

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