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 JasonColapietro/suede-creator-skills --skill amazon-returns-recoverygit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/amazon-returns-recovery)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/amazon-returns-recovery"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/amazon-returns-recovery/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/jasoncolapietro/suede-creator-skills/amazon-returns-recovery"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/amazon-returns-recovery.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 Excessive Agency · line 32 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00138 | $0.02463 |
| Opus 5 | $0.00069 | $0.01231 |
| Sonnet 5 | $0.00028 | $0.00493 |
| Haiku 4.5 | $0.00014 | $0.00246 |
Grade A, and why
amazon-returns-recovery 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Returns Recovery
Iron Law:
Nothing is disputed, canceled, or sent without the account owner's per-item
confirmation. Discovery is read-only; every action phase is gated.
Why this exists
- Money like this doesn't announce itself. Restocking fees, short refunds, and forgotten subscription charges sit unannounced in order history unless something checks.
- Overturning an already-denied refund after the return window closed is the realistic ceiling of a well-reasoned exception ask — so ask for more than a waiver when the facts support it.
Read references/example-cases.md before drafting a dispute: three real resolved cases with the exact wording that worked.
Prerequisites
- Claude in Chrome browser extension connected to the browser, and the user already
signed into the target Amazon account. If
mcp__claude-in-chrome__*tools aren't loaded yet, fetch them via ToolSearch first (see the extension's own MCP instructions for the batch-load query). - This runs against a real account. If the account is shared (family members with separate shipping addresses on the same login), be ready to see orders that aren't the user's — flag those, don't just fold them into the same batch without asking.
Phase 1a — Order/return discovery (read-only, no side effects)
Goal: find every completed return where Amazon deducted a restocking fee, without touching anything.
- Search order history broadly by category keyword, not just exact terms — Amazon's
your-orders/searchmatches loosely, so one keyword (e.g. "razor") surfaces adjacent items (shavers, trimmers) too. Restocking fees concentrate on higher-value electronics/appliances, so prioritize checking those over consumables or clothing.https://www.amazon.com/your-orders/search/ref=ppx_yo2ov_dt_b_search?opt=ab&search=<keyword>- Paginate through all result pages — don't stop at page 1. Older orders (a year+
back) still show up here even though they've long since dropped off
Your Returns.
- For faster coverage of recent activity, also check
https://www.amazon.com/your-returns— but note it only shows roughly the last 3 months, so it's a supplement to the search sweep, not a replacement for it. - For each order that shows "Return complete" / "Refund Complete" / "Refund issued",
open its detail page:
https://www.amazon.com/your-orders/order-details?orderID=<orderID>Find the Refund Total line — it has a small chevron that expands to an itemized breakdown (Item(s) refund / Tax refund / Restocking fee / Refund Total). Click it. Orders with no fee just show item + tax = refund total; orders with a fee show the deduction explicitly. - Record every hit: order #, item name, item price, restocking fee amount, who it shipped to, and whether it was sold by Amazon.com directly or a third-party seller (first-party listings are the strongest cases — Amazon's own chat agents can waive those without looping in a marketplace seller).
- Don't try to make this exhaustive on the first pass if the account has a long history — report what's found so far and note that more may be scattered across older years if the user wants a deeper sweep.
What ships with it
4 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 · 172 lines · 138 tokens per session scan A 45ee4f29a33c
amazon-returns-recovery is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 138 tokens to every session and 2,463 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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