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 agentmods add skills/zpoint/vibe-seller/amazon-sharednpx skills add zpoint/vibe-seller --skill amazon-sharedgit clone --depth 1 https://github.com/zpoint/vibe-sellerWrote 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/zpoint/vibe-seller/amazon-shared)<a href="https://agentmods.dev/skills/zpoint/vibe-seller/amazon-shared"><img src="https://agentmods.dev/badge/skills/zpoint/vibe-seller/amazon-shared.svg" alt="Measured on agentmods" 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 | $0.00092 | $0.01312 |
| Opus 5 | $0.00046 | $0.00656 |
| Sonnet 5 | $0.00018 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
amazon-shared 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon — Shared (auth, navigation, common patterns)
This skill covers what every Amazon Seller Central or advertising-
console task needs: marketplace endpoints, the hamburger-menu hover
pattern, login / Ziniao / OTP handling, and the ad-console vs
seller-central account caveat. Operation-specific skills
(amazon-ads, amazon-reports, amazon-invoice, future
amazon-listing / amazon-fbn / etc.) load this first.
1. Marketplace TLDs
Amazon Seller Central is per-country. Use the country-specific TLD in URLs — paths are usually identical.
| Marketplace | Seller Central | Advertising console |
|---|---|---|
| US | sellercentral.amazon.com |
advertising.amazon.com |
| UK | sellercentral.amazon.co.uk |
advertising.amazon.co.uk |
| (others) | sellercentral.amazon.<tld> |
advertising.amazon.<tld> |
For the canonical per-country base URLs and path table, read
knowledge/project/common/amazon-sites.md — that file is the source
of truth for seller-central paths (inventory, listings, orders,
performance, etc.). Don't guess seller-central paths.
Unified multi-marketplace accounts: one Amazon seller-id, multiple
marketplaces. Inventory differs (~10–20% of ASINs are listed on one
but not the others). Listing-status enums differ (e.g. one marketplace
omits DetailPageRemoved from a filter dropdown while another includes
it — read the live dropdown). Custom Reports's All-Listings TSV is
byte-identical across the marketplaces' subdomains (account-level). Stranded Inventory is a single pool. When debugging
a specific listing, always specify which marketplace; "the inventory
for store X" is ambiguous.
2. Sign-in flow (browser-side)
The first hit per session typically redirects through Amazon sign-in even if a previous Seller Central session is still good. Ziniao auto-fills the password and the OTP / 2FA code (via the 紫鸟验证码 service when configured for the store). The agent's job is to wait for the auto-fill to land, click the submit button, and let the redirect settle.
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 First seen · 128 lines · 92 tokens per session scan A c3f93690552e
amazon-shared is a skill published in the GitHub repository zpoint/vibe-seller (62 stars, last pushed 12d ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,312 once invoked, about $0.0005 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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