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 DedeGroup/listinggood-skills --skill listinggood-amazon-suspension-shieldgit clone --depth 1 https://github.com/DedeGroup/listinggood-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/dedegroup/listinggood-skills/listinggood-amazon-suspension-shield)<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-amazon-suspension-shield"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-suspension-shield/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/dedegroup/listinggood-skills/listinggood-amazon-suspension-shield"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-suspension-shield.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 | $0.00183 | $0.01905 |
| Opus 5.5 | $0.00073 | $0.00762 |
| Sonnet 5.5 | $0.00037 | $0.00381 |
| Haiku 4.5 | $0.00018 | $0.00191 |
Grade A, and why
listinggood-amazon-suspension-shield 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 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.
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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Suspension Shield — Account & Listing Takedown Risk Audit
Most "Amazon compliance" checkers only look at keyword coverage (title/bullets/SEO). That is the easy part. Sellers lose accounts and listings to suspension-risk violations — IP complaints, authenticity reports, linked-account bans, missing compliance markings. This skill audits that higher-stakes layer, the one that actually shuts businesses down.
Field notes below come from operating DeDe Fashion (HK fashion trade, 2016–present) and Alexis Leroy (live EU apparel/footwear brand on DE/ES/FR/IT). They are pattern knowledge, not legal advice.
When to Use
Trigger when the user asks about:
- Why an account was suspended / a listing taken down
- Whether a listing or account carries suspension risk before scaling ad spend
- Brand / IP / counterfeit complaints
- Category gating, restricted products, approval requirements
- Linked-account (关联) ban risk
- Review manipulation, Vine, solicited reviews
- EU compliance markings (GPSR, 欧代/responsible person, CE, WEEE, textile label)
- "My competitor reported me" / "I got a warning"
Workflow
Step 1: Gather Context
| Field | Required | Notes |
|---|---|---|
| Listing text (title + bullets + A+ + description) | ✅ | The content to audit |
| Category / product type | ✅ | Drives which suspension rules apply |
| Marketplace(s) | ✅ | US vs EU vs JP enforcement differs sharply |
| Brand ownership status | ✅ | Own brand? Licensed? Reselling? Bundling? |
| Fulfillment | Optional | FBA vs FBM (affects some risk types) |
| Account age / prior warnings | Optional | Repeat violations escalate faster |
Step 2: Run the Suspension-Risk Audit
Score each dimension. Severity drives the report.
2.1 Brand & Intellectual Property (highest account-level risk)
- Competitor brand names in title/bullets/A+? (e.g., "compatible with Nike") → trademark complaint
- Logo, pattern, or colorway that mimics a known brand?
- Cartoon / movie / celebrity / sports-team IP without license?
- Using "generic" but shipping branded units (authenticity mismatch)?
- ⚠️ A single upheld IP complaint can trigger account-level review, not just takedown.
What ships with it
2 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 · +9 lines 87cbb2b5c374
- 1mo ago First seen · 138 lines · 183 tokens per session scan A 70c59aae2c66
listinggood-amazon-suspension-shield is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 183 tokens to every session and 1,905 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-31.
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amazon-product-compliance
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amazon-suspension-appeal
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marketplace-connectors
List products on Amazon, eBay, and Walmart with two-way inventory sync, automated listing creation, and order import into your store.
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