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-trend-scannergit 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-trend-scanner)<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-market-trend-scanner"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-market-trend-scanner/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-trend-scanner"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-market-trend-scanner.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 Rogue Agent · line 52 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00147 | $0.02659 |
| Opus 5 | $0.00073 | $0.01329 |
| Sonnet 5 | $0.00029 | $0.00532 |
| Haiku 4.5 | $0.00015 | $0.00266 |
Grade A, and why
amazon-market-trend-scanner 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZooData — Market Trend Scanner
Find rising categories before everyone else. 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 for exact field names or response structure |
{skill_base_dir}/scan-data/ |
Runtime: watchlist.json, baseline.json, alerts.json, history/ (auto-created) |
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 allowscategories,market,products, andcheck. 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: scan state under
{skill_base_dir}/scan-data/(baseline.json,watchlist.json,alerts.json,history/*.json); reads the optional credential store~/.zoodata/config.json. This state persists between runs solely for baseline comparison and alerting — it may be deleted at any time to reset monitoring, and oldhistory/snapshots should be pruned when no longer needed. - 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
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 · 175 lines · 147 tokens per session scan A 7915f1e5759d
amazon-market-trend-scanner is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (71 stars, last pushed 3d ago), licensed MIT. It adds 147 tokens to every session and 2,659 once invoked, about $0.0007 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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