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-compliance-auditorgit 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-compliance-auditor)<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-amazon-compliance-auditor"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-compliance-auditor/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-compliance-auditor"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-amazon-compliance-auditor.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 | $0.00164 | $0.01322 |
| Opus 5 | $0.00082 | $0.00661 |
| Sonnet 5 | $0.00033 | $0.00264 |
| Haiku 4.5 | $0.00016 | $0.00132 |
Grade A, and why
listinggood-amazon-compliance-auditor 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
亚马逊合规检测工具 — Listing 政策审计与风险预警
Audit Amazon listings for policy violations, suppression risks, and compliance gaps before they cause account trouble.
When to Use
Trigger when the user asks to:
- Check if a listing complies with Amazon policies
- Understand why a listing was suppressed or flagged
- Audit listings for TOS violations before publishing
- Review image or text compliance for a specific category
- Assess listing health score or risk level
- Understand Amazon's restricted categories or claims requirements
Workflow
Step 1: Gather Listing Information
Collect from user (ask if not provided):
| Field | Required | Notes |
|---|---|---|
| Listing text (title + bullets + description) | ✅ | The actual content to audit |
| Category | ✅ | Determines which specific rules apply |
| Marketplace | Optional | US/EU/JP have different enforcement levels |
| Images description | Optional | If user describes images, check visual compliance |
| ASIN (if existing listing) | Optional | Enables deeper checks |
| Specific concern | Optional | e.g., "worried about my 'waterproof' claim" |
Step 2: Run Compliance Audit
Check against these dimensions. Read references/compliance-rules.md for detailed rule reference.
2.1 Text Compliance Checks
For each element (title / bullets / description), flag:
Critical (will suppress):
- Competitor brand names present?
- Misleading superlatives ("best", "#1", "guaranteed")?
- Prohibited incentive language ("review for refund")?
- False certifications or unsupported claims?
- HTML in non-EBC description?
- Contact info (phone/email/URL) in content?
Warning (high risk of manual review flag):
- ALL CAPS abuse (more than 3 consecutive words)?
- Excessive punctuation (!!! ???)?
- Keyword stuffing (repeating same keyword >3 times)?
- Price-related claims ("cheapest", "lowest price")?
- Temporal urgency ("limited time", "last chance")?
- Medical/health claims without proper disclaimers?
Info (optimization opportunity):
- Title missing key keywords for the category?
- Bullet points not benefit-led (feature-only)?
- Description repeating bullet points word-for-word?
- Missing trust signals (warranty, guarantee terms)?
What ships with it
3 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 · 137 lines · 164 tokens per session scan A 8b99fb6637aa
listinggood-amazon-compliance-auditor is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 7d ago), licensed MIT. It adds 164 tokens to every session and 1,322 once invoked, about $0.0008 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 2026-08-31.
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