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 | $0.00119 | $0.03599 |
| Opus 5 | $0.00060 | $0.01800 |
| Sonnet 5 | $0.00024 | $0.00720 |
| Haiku 4.5 | $0.00012 | $0.00360 |
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 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZooData — Amazon Seller Data Analysis
AI-powered Amazon product research. Respond in user's language.
Files
| File | Purpose |
|---|---|
{skill_base_dir}/scripts/zoodata.py |
Execute for all API calls (run --help for params) |
{skill_base_dir}/references/reference.md |
Load when you need exact field names or filter details |
Credential
Required: ZOODATA_API_KEY. Get free key at zoodata.ai/api-keys. Stored in {skill_base_dir}/config.json in skill root.
Capabilities & Data Flow
- Network: only
https://api.zoodata.ai(BearerZOODATA_API_KEY). SettingZOODATA_BASE_URLto an untrusted host (anything other thanapi.zoodata.ai/*.zoodata.ai/ localhost) makes the CLI refuse the request and withhold the key — the Bearer token is never sent to an untrusted host. - Execution: bundled shared ZooData CLI
{skill_base_dir}/scripts/zoodata.py(Python 3, stdlib-only). This skill allowscategories,market,products,competitors,product,analyze,report,opportunity,history,check, plus the review fallback toolkit (reviews-raw/review-tag-prompt/review-reduce-prompt/review-aggregate). Do not invoke unrelated subcommands for this skill's tasks — the bundled manifest{skill_base_dir}/scripts/allowed-commands.jsonenforces this: the CLI refuses out-of-scope subcommands with a structuredCOMMAND_NOT_ALLOWEDerror before any API request. - Local files: a private temporary working dir (created with
mktemp -d, removed when the fallback completes) during the review fallback; reads the optional credential store~/.zoodata/config.json. - Sent to the API: keywords, category paths, ASINs, marketplace/date and numeric filter values only. Never sent: budget, experience level, risk tolerance, or any other user-profile text — profile inputs map client-side to numeric filters.
- Credits: every API call consumes account credits. For broad or ambiguous requests, state the estimated credit cost and confirm with the user before running multi-call scans.
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 10 KB
- references/execution-guide.md 13 KB
- references/reference.md 6.6 KB
- references/scenarios-composite.md 6.3 KB
- references/scenarios-eval.md 8.9 KB
- references/scenarios-expand.md 3.6 KB
- references/scenarios-listing.md 9.3 KB
- references/scenarios-ops.md 3.0 KB
- references/scenarios-pricing.md 2.2 KB
- scripts/allowed-commands.json 284 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 · 207 lines · 119 tokens per session scan A c36978bf3c56
amazon-analysis is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (71 stars, last pushed 3d ago), licensed MIT. It adds 119 tokens to every session and 3,599 once invoked, about $0.0006 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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amazon-a-plus-content
Amazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization. Use when the user asks about A+ Content, Enhanced Brand Content, product storytelling, or Amazon listing enhancement.
amazon-advertising-strategy
Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads…
amazon-display-ads
Amazon Sponsored Display campaign strategy and optimization. Audience targeting, retargeting campaigns, creative optimization, and performance management. Use when the user asks about Amazon display ads, audience targeting, retargeting, or Sponsored Display campaigns.