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-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-analysis)<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-analysis"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-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-analysis"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00128 | $0.01314 |
| Opus 5.5 | $0.00051 | $0.00526 |
| Sonnet 5.5 | $0.00026 | $0.00263 |
| Haiku 4.5 | $0.00013 | $0.00131 |
Grade A, and why
amazon-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 6d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZooData — Amazon Seller Data Analysis
Respond in the user's language. Use this skill for broad or composite Amazon research without a single specialized deliverable. Route a focused market-entry, market-discovery, or category-trend request to amazon-market-analysis; route a focused keyword, listing, pricing, review, or competitor request to its dedicated skill.
Start here
- Classify the user's question. For a single data point, use the quick path in
references/execution-guide.md; for multi-endpoint research, load its full workflow. - Read
references/cli-contract.mdbefore selecting or invoking a command. Inspect the bundled CLI's top-level and selected subcommand help. - Read
references/reference.mdfor endpoint fields and local CLI options. Load the applicable scenario module:scenarios-composite.mdfor broad cross-validation,scenarios-eval.mdfor product evaluation,scenarios-expand.mdfor expansion,scenarios-listing.mdfor listing context,scenarios-ops.mdfor operations, orscenarios-pricing.mdfor pricing context. - Apply the shared interpretation and reporting rules in
references/execution-guide.md; use the selected scenario for its specific evidence and conclusion scope.
Source-of-truth boundaries
- This
SKILL.mdowns trigger routing, module loading, the responsibility map, and non-negotiable runtime boundaries. It does not define product presets, thresholds, endpoint fields, procedures, or report templates. references/cli-contract.mdowns shared CLI invocation, command identity, result classification, retries, and terminal or partial-result handling.references/reference.mdowns endpoint availability, request and response fields, CLI parameter mapping, data shapes, and field identity. It does not set analytical thresholds.references/execution-guide.mdowns shared workflow steps, product-preset selection, market-health interpretation, cross-endpoint analysis, and user-facing output rules. It does not redefine endpoint fields.- Scenario modules own the evidence selection, conclusions, and scenario-specific report sections for their named task. They may narrow shared workflow rules but cannot redefine endpoint contracts or shared output rules.
{skill_base_dir}/scripts/zoodata.pyowns local preset expansion, request construction, transport metadata, and credential handling; it does not issue business conclusions.
What ships with it
13 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 3.0 KB
- references/cli-contract.md 17 KB
- references/execution-guide.md 21 KB
- references/reference.md 18 KB
- references/scenarios-composite.md 6.6 KB
- references/scenarios-eval.md 9.2 KB
- references/scenarios-expand.md 3.9 KB
- references/scenarios-listing.md 9.3 KB
- references/scenarios-ops.md 4.2 KB
- references/scenarios-pricing.md 2.4 KB
- scripts/allowed-commands.json 838 B
- scripts/zoodata.py 195 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.
- 6d ago Changed 91626481e2cb
- 1mo ago Changed · -134 lines · +9 tokens per session b340616969cf
- 1mo ago First seen · 207 lines · 119 tokens per session scan A c36978bf3c56
amazon-analysis is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (77 stars, last pushed 6d ago), licensed MIT. It adds 128 tokens to every session and 1,314 once invoked, about $0.0005 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 2026-08-30.
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