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-keyword-traffic-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-keyword-traffic-analysis)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00109 | $0.02524 |
| Opus 5 | $0.00055 | $0.01262 |
| Sonnet 5 | $0.00022 | $0.00505 |
| Haiku 4.5 | $0.00011 | $0.00252 |
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.
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 — 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
- 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.
- Read the local
references/cli-contract.md,references/reference.md, and the relevantzoodata.py --helpbefore selecting a tool. The shared contract owns CLI invocation and result handling;reference.mdis the sole source for production endpoint availability, parameters, response fields, dates, batching, credits, and API capability boundaries. - Load
references/output-rules.mdfor user-facing rendering and applyexecution-guide.md § Final Output Gateon every rendering path. For a single lookup, also load onlyreferences/execution-guide.mdsectionsAuthority and routing,Execution mode,Structured Field Identity Gate,Interface Failure Stop Gate,Final Output Gate,HTTP Validation Rule, andCredential and Credit Failures; useoutput-rules.md § Quick Mode Outputand do not load a scenario unless the follow-up broadens the request. - 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 itsInterface Failure Stop Gatebefore 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.mdreferences/scenarios-keyword-analysis.mdreferences/scenarios-product-traffic-analysis.md
- 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. - After API retrieval, load only the field-semantic reference needed for the returned data:
references/metrics-market-profile.mdformarket-profilereferences/metrics-trend-profile.mdfortrend-profilereferences/serp-and-rollover.mdfor SERP ororganicRolloverRatereferences/traffic-observation-semantics.mdfor traffic-term lists, traffic timelines, or traffic-profile data
- 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.
What ships with it
19 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
- agents/openai.yaml 267 B
- README.md 2.7 KB
- references/cli-contract.md 10 KB
- references/diagnosis-action-protocols.md 7.5 KB
- references/evidence-protocols.md 13 KB
- references/execution-guide.md 24 KB
- references/metrics-market-profile.md 6.0 KB
- references/metrics-trend-profile.md 3.3 KB
- references/output-rules.md 11 KB
- references/reference.md 26 KB
- references/scenarios-expand.md 6.5 KB
- references/scenarios-keyword-analysis.md 9.2 KB
- references/scenarios-product-traffic-analysis.md 12 KB
- references/serp-and-rollover.md 5.0 KB
- references/sqp-field-semantics.md 15 KB
- references/traffic-observation-semantics.md 5.1 KB
- scripts/allowed-commands.json 368 B
- scripts/zoodata.py 174 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.
- 12d ago First seen · 85 lines · 109 tokens per session scan A edbb0e222431
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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Handle FormData, file uploads, Blob, Uint8Array, and ReadableStream inputs in tRPC mutations. Use octetInputParser from @trpc/server/http for binary data. Route non-JSON requests with splitLink and isNonJsonSerializable() from @trpc/client. FormData and binary inputs only work with mutations (POST).
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smoke-test
Run smoke tests against a deployed or local app based on your git diff. Each test uses Skyvern browser tools (navigate, act, validate, screenshot) with Chrome DevTools MCP as fallback. Posts screenshot evidence as PR comments.