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-review-intelligence-extractorgit 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-review-intelligence-extractor)<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-review-intelligence-extractor"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-review-intelligence-extractor/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-review-intelligence-extractor"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-review-intelligence-extractor.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 | $0.00125 | $0.05668 |
| Opus 5 | $0.00063 | $0.02834 |
| Sonnet 5 | $0.00025 | $0.01134 |
| Haiku 4.5 | $0.00013 | $0.00567 |
Grade C, and why
amazon-review-intelligence-extractor scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Remove the directory (`rm -rf "$WORK"`) after Step 4 succeeds or the workflow aborts. How it starts
The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Review Intelligence Extractor — 11 Dimensions, 1B+ Reviews
Pre-analyzed consumer insights. Pain points, buying factors, user profiles, differentiation gaps.
Files
- Script:
{skill_base_dir}/scripts/zoodata.py— run--helpfor params - Reference:
{skill_base_dir}/references/reference.md(field names & response structure)
Credential
Required: ZOODATA_API_KEY. Get free key at zoodata.ai/api-keys
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 allowsanalyze,review-deepdive,product,categories,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. The composite
review-deepdivecommand executes ~14+ API calls (~10-20 credits) in ONE invocation and has NO skip/trim flags — under a credit cap, use the granular commands instead.
What ships with it
6 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.
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 · 389 lines · 125 tokens per session scan C c30eedb27ef5
amazon-review-intelligence-extractor is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (71 stars, last pushed 2d ago), licensed MIT. It adds 125 tokens to every session and 5,668 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
amzscout-research
Amazon-seller research using AMZScout tools — analyze a product by ASIN, evaluate a niche / category, pull keyword & PPC data, and explore a brand's Amazon catalog. Use whenever the user asks whether an Amazon product is worth selling, to analyze a niche or its competition, find/discover products, check a listing's…
pilot-api-gateway
Expose local APIs to the Pilot Protocol network. Use this skill when: 1. You need to expose local APIs to remote Pilot agents 2. You want to provide API access without public internet exposure 3. You're building API-based agent services on Pilot Do NOT use this skill when: - APIs are already publicly accessible - You…
amazon-product-ranking
Invoke for ANY Amazon seller query about organic search ranking or product visibility in Amazon search results. Trigger signals: ASIN (B0...) plus ranking intent, page 1 goals, search position tracking, rank drops or recovery, ranking campaign setup, SFB (search-find-buy) parameters, cost or budget estimates for…
non-json-content-types
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).
horse-integration-tests
Guide for writing automated integration tests for Horse endpoints using DUnit/DUnitX and THTTPClient.
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.