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 finsilabs/awesome-ecommerce-skills --skill marketplace-fee-reconciliationgit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-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/finsilabs/awesome-ecommerce-skills/marketplace-fee-reconciliation)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/marketplace-fee-reconciliation"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/marketplace-fee-reconciliation/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/finsilabs/awesome-ecommerce-skills/marketplace-fee-reconciliation"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/marketplace-fee-reconciliation.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 | $0.00035 | $0.02631 |
| Opus 5 | $0.00017 | $0.01316 |
| Sonnet 5 | $0.00007 | $0.00526 |
| Haiku 4.5 | $0.00003 | $0.00263 |
Grade A, and why
marketplace-fee-reconciliation 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketplace Fee Reconciliation
Overview
Selling on marketplaces like Amazon, eBay, Walmart, and Etsy introduces a complex layer of fees that significantly impact net profitability. Amazon alone has over a dozen distinct fee types: referral fees, FBA fulfillment fees, storage fees, advertising fees, return processing fees, and more. These fees are deducted before disbursement, making it easy to lose track of how much of your gross revenue actually reaches your bank account.
Fee reconciliation is the practice of matching marketplace settlement data against your expected fee schedule, verifying that you have been charged correctly, and computing true net revenue by SKU and category.
This skill guides you through downloading settlement reports from each major marketplace, reconciling fees against expectations, and using dedicated tools to automate this process.
When to Use This Skill
- When selling on Amazon, eBay, Walmart, or Etsy and needing to understand true net revenue
- When suspecting FBA fulfillment fee overcharges due to incorrect product dimensions
- When reconciling marketplace payouts against your GL on a monthly basis
- When computing true contribution margin per SKU by channel including marketplace fees
- When evaluating whether to move products from FBA to FBM (fulfilled by merchant)
- When building a multi-channel profitability model with normalized fee data
Core Instructions
Step 1: Download settlement reports from each marketplace
Amazon (Seller Central):
- Go to Seller Central → Reports → Payments → Transaction View
- Click Download flat file (.txt) for each settlement period (bi-weekly)
- Alternatively, access via the SP-API (Selling Partner API): use the
/finances/v0/financialEventGroupsendpoint for automated downloads - Key settlement fields: transaction type, fee type, amount, order ID, SKU
eBay:
- Go to eBay Seller Hub → Payments → Payments report
- Download as CSV (monthly or custom date range)
- eBay Payments API is available for programmatic access
What ships with it
7 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.
- evals/amazon-settlement-parsing-and-fee-catego/criteria.json 2.8 KB
- evals/amazon-settlement-parsing-and-fee-catego/task.md 4.3 KB
- evals/fba-overcharge-detection-and-optimizatio/criteria.json 2.9 KB
- evals/fba-overcharge-detection-and-optimizatio/task.md 2.9 KB
- evals/net-revenue-computation-and-fee-rate-tra/criteria.json 3.2 KB
- evals/net-revenue-computation-and-fee-rate-tra/task.md 3.4 KB
- tile.json 335 B
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 · 193 lines · 35 tokens per session scan A 463d617e238a
marketplace-fee-reconciliation is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 2,631 once invoked, about $0.0002 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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