amazon-fba-inbound

amazon-fba-inbound is a skill for Claude Code, Codex from zpoint/vibe-seller. It costs 85 tokens per session (7,225 once invoked), scanned A, original, Apache-2.0.

A browser-based workflow for Amazon's FBA inbound process, where FBA means Amazon stores and ships products for a seller. It covers preparing shipments, obtaining transport quotes, confirming them, printing box labels, and cancelling shipments.

In plain words
What is it for?
Use it to create, quote, confirm, label, or cancel Amazon FBA inbound shipments, including SEND shipments, after signing in to the appropriate seller account.
Why use it?
It handles the shipment steps that require Amazon's Send to Amazon screens, including the cross-border SEND program that is not fully covered by Amazon's API.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create, quote, confirm, label, or cancel Amazon FBA inbound shipments, including SEND shipments, after signing in to the appropriate seller account.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zpoint/vibe-seller/amazon-fba-inbound
Install

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.

Any agent
npx skills add zpoint/vibe-seller --skill amazon-fba-inbound
Clone the repo
git clone --depth 1 https://github.com/zpoint/vibe-seller

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for amazon-fba-inbound

README.md
[![agentmods](https://agentmods.dev/badge/skills/zpoint/vibe-seller/amazon-fba-inbound/github.svg)](https://agentmods.dev/skills/zpoint/vibe-seller/amazon-fba-inbound)
Your own site
<a href="https://agentmods.dev/skills/zpoint/vibe-seller/amazon-fba-inbound"><img src="https://agentmods.dev/badge/skills/zpoint/vibe-seller/amazon-fba-inbound/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.

agentmods 80×15 button for amazon-fba-inbound

Your own site · 80×15
<a href="https://agentmods.dev/skills/zpoint/vibe-seller/amazon-fba-inbound"><img src="https://agentmods.dev/badge/skills/zpoint/vibe-seller/amazon-fba-inbound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high YARA Match · line 3
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.07225
Opus 5 $0.00043 $0.03612
Sonnet 5 $0.00017 $0.01445
Haiku 4.5 $0.00009 $0.00722

Measured 12d ago against content hash 2e654e85d99b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

amazon-fba-inbound 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.

app/skills_v2/amazon-fba-inbound/SKILL.md · 571 lines

How it starts

The opening of the file, as written. The whole thing — 571 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon FBA inbound — Send to Amazon, end to end

Creating an inbound shipment, quoting it, confirming it, printing box labels, and voiding one. Covers both the ordinary path (your own carrier or an Amazon-partnered domestic carrier) and the cross-border SEND programme, which is browser-only.

Load amazon-shared first — it owns marketplace TLDs, the sign-in challenge loop, and the Ziniao/OTP/passkey rules. This skill assumes you are already signed in.

0. Why a browser at all

For most inbound work an API exists. For SEND it does not, and that is worth knowing before you look for one:

  • GET /inbound/fba/2024-03-20/inboundPlans/{id} on a SEND plan answers 400 BadRequest: GetInboundPlan is not supported for the cross border Seller Export and Delivery program
  • listInboundPlans omits SEND plans entirely
  • a plan you create through the API is an ordinary FBA plan, so listTransportationOptions only ever offers USE_YOUR_OWN_CARRIER — no partnered option appears
  • the old v0 partnered flow (/shipments/{id}/transport) answers 400 This API is deprecated

The trap: the SEND partners are in the option list

The carriers Amazon names as its SEND partners do come back from listTransportationOptions, by carrier.alphaCode. Picking one does not book a SEND shipment — it books that company as a carrier you arranged. Same haulier, different product, and the difference is everything: no Amazon-arranged freight, no Amazon-issued tracking, no partnered price, and the shipment then waits on you for pallet or tracking details.

Verified end to end on a live account: confirming a SEND partner's USE_YOUR_OWN_CARRIER option produced a shipment with freightInformation: null and no quote — Amazon arranged and priced nothing.

The shipment's name tells you nothing about which one you have. That API-confirmed non-SEND shipment was auto-named FBA STA (…), and a genuine SEND shipment booked through the portal on the same account hours later was also named FBA STA (…) — while older genuine SEND shipments there read FBA SEA (…). STA is just "Send To Amazon", and the SEA/STA difference is naming history, not product. Reading the name as evidence is how a real SEND booking gets mistaken for the trap.

Read the full file on GitHub · 571 lines

Changes

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.

  1. 12d ago First seen · 571 lines · 85 tokens per session scan A 2e654e85d99b

Subscribe to this mod's changes

amazon-fba-inbound is a skill published in the GitHub repository zpoint/vibe-seller (67 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 7,225 once invoked, about $0.0004 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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