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-listing-audit-progit 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-listing-audit-pro)<a href="https://agentmods.dev/skills/serendipityoneinc/zoodata-skills/amazon-listing-audit-pro"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-listing-audit-pro/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-listing-audit-pro"><img src="https://agentmods.dev/badge/skills/serendipityoneinc/zoodata-skills/amazon-listing-audit-pro.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 | $0.00132 | $0.03500 |
| Opus 5.5 | $0.00053 | $0.01400 |
| Sonnet 5.5 | $0.00026 | $0.00700 |
| Haiku 4.5 | $0.00013 | $0.00350 |
Grade B, and why
amazon-listing-audit-pro scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- **Working dir**: `WORK=$(mktemp -d)` (private, 0700 — not a predictable path); remove it with `rm -rf "$WORK"` after `review-aggregate` succeeds or the fallback aborts Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZooData — Amazon Listing Audit Pro
8-dimension health check. Benchmark against leaders. Fix what matters most. 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 |
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 allowslisting-audit,product,products,market,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
listing-auditcommand executes ~18 API calls (~15-20 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.
- 1mo ago Changed · +1 tokens per session 53fe6dc8fb8b
- 1mo ago First seen · 179 lines · 131 tokens per session scan B a499a854da62
amazon-listing-audit-pro is a skill published in the GitHub repository SerendipityOneInc/ZooData-Skills (77 stars, last pushed 6d ago), licensed MIT. It adds 132 tokens to every session and 3,500 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B 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.
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