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 SerendipityOneInc/ZooData-Skills --skill amazon-market-analysisgit clone --depth 1 https://github.com/SerendipityOneInc/ZooData-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/serendipityoneinc/zoodata-skills/amazon-market-analysis)<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.
<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>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 | $0.00078 | $0.01639 |
| Opus 5.5 | $0.00031 | $0.00656 |
| Sonnet 5.5 | $0.00016 | $0.00328 |
| Haiku 4.5 | $0.00008 | $0.00164 |
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.
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 — 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
- Read and apply
references/analysis-contract.mdbefore classifying the request, making an evidence call, or sending user-facing text. - 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.
- Read
references/cli-contract.mdandreferences/reference.md; inspect the selected bundled CLI subcommand's--help. The reference owns production endpoint availability, parameters, response shapes, dates, and credit facts. - Load
references/output-rules.md. For a quick lookup, load onlyreferences/execution-guide.mdsectionsAuthority and routing,Execution mode,Field Identity Gate,Interface Failure Stop Gate,Final Output Gate, andCredential and Credit Failures. - 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, orreferences/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. - Before interpreting returned market measures, load
references/market-metric-semantics.md. Before interpreting seller capital, cost, margin, risk tolerance, or compliance claims, also loadreferences/seller-input-semantics.md.
Source-of-truth boundaries
- This
SKILL.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns 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.mdowns market and product candidate discovery;scenarios-evaluate.mdowns entry assessment;scenarios-track.mdowns trend and explicitly opted-in monitoring. {skill_base_dir}/scripts/zoodata.pyowns CLI request construction and transport metadata, not analysis policy.README.mdis a human-facing package index only and does not set runtime rules.
What ships with it
15 files 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.
- .clawhubignore 12 B
- README.md 2.0 KB
- references/analysis-contract.md 12 KB
- references/cli-contract.md 17 KB
- references/evidence-protocols.md 8.2 KB
- references/execution-guide.md 12 KB
- references/market-metric-semantics.md 5.7 KB
- references/output-rules.md 6.1 KB
- references/reference.md 9.3 KB
- references/scenarios-discover.md 4.4 KB
- references/scenarios-evaluate.md 4.7 KB
- references/scenarios-track.md 4.2 KB
- references/seller-input-semantics.md 2.6 KB
- scripts/allowed-commands.json 347 B
- scripts/zoodata.py 187 KB runs code
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.
- 23d ago First seen · 68 lines · 78 tokens per session scan A dca6dd607b17
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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