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-deep-compliancegit 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-deep-compliance)<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-deep-compliance"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-deep-compliance/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-deep-compliance"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-deep-compliance.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 | $0.00142 | $0.01075 |
| Opus 5 | $0.00071 | $0.00537 |
| Sonnet 5 | $0.00028 | $0.00215 |
| Haiku 4.5 | $0.00014 | $0.00108 |
Grade A, and why
listinggood-deep-compliance 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.
What it actually says
亚马逊深度合规报告 — 知识库驱动的逐段体检
（ListingGood 壁垒层技能：通用大模型做不了的真实后端能力）
何时用
- 卖家要一份可据以整改的深度合规报告，而不只是关键词初筛；
- 发货 / 旺季前排查下架与封号风险；
- 欧盟站（DE/FR/ES/IT）需要 GPSR / CE / 欧代 / WEEE 等强制标识核对；
- 收到违规 / 侵权 / 真实性投诉，需要定位根因。
方法论（本地可先做一版初稿）
- 范围界定：站点（amazon.com / .de / .co.uk …）、类目、ASIN、是否含敏感属性（儿童 / 食品 / 电子 / 纺织 / 美妆）。
- 逐段扫描：标题、五点、A+ / 产品描述、图片文字、Search Term，分别检查：
- 违禁词 / 绝对化用语（最佳 / 第一 / 医用功效 …）
- 知识产权红线（品牌名、卡通 / IP、自有商标冒用）
- 类目错配与受限宣称（natural / therapeutic / certified）
- 外部链接 / 联系方式 / 引导站外
- EU：GPSR 负责人、CE、欧代、WEEE、电池、纺织成分标签（EU 1007/2011）
- 风险定级：Critical（= 下架 / 封号）/ Warning（= 权重 / 审核风险）/ Info（优化项）。
- 整改建议：每条给「原文 → 问题 → 改写」三段式。
本地初稿只能覆盖公开规则。真正权威的报告需要 ListingGood 的自有合规知识库（持续维护的违禁词、各站政策、判例与类目边界），由后端 LLM 逐段比对生成，消耗星点（深度报告 3 星）。
直接调用 ListingGood 真实后端（差异化壁垒，开箱即用）
本技能不只给方法论——它可以直接调用 ListingGood 的真实后端，拿到知识库驱动的逐段深度合规报告。这是纯文本通用大模型做不到的：我们握有自维护的合规知识库（违禁词 / 各站政策 / 判例 / 类目边界）与真实生成后端。
前置（一次性）：去 https://listinggood.com 注册 → 控制台获取 API key（访问 https://listinggood.com/api/user/apikey）。
调用（技能自带 scripts/listinggood_api.py，仅用 Python 标准库，无依赖）：
export LISTINGGOOD_API_KEY="你的key"
python3 scripts/listinggood_api.py --action deep \
--text "你的 Listing 文案（标题+五点+描述）" \
--marketplace US --category electronics
- 也可
--api-key "..."临时传入；加--json输出原始 JSON 便于程序消费。 - 计费：深度报告 3 星（从星点钱包扣除，新用户免费赠 10 星）。
- 返回：合规评分 + 风险等级 + 逐段问题（含严重度 / 原文 / 修复方案）+ 站点注意事项。
- 无 key 调用会被拒（401），余额不足（402）会提示充值——这是真实计费闭环，不是门控引导。
Published by ListingGood
- 免费预检：https://www.listinggood.com/scan
- 深度合规报告 / 控制台：https://www.listinggood.com
ListingGood · 亚马逊 Listing 专家 · 智能撰写 · 合规预检 · 申诉挽救 免费预检 → listinggood.com/scan
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.
- 12d ago First seen · 54 lines · 142 tokens per session scan A 415fed7a5c1d
listinggood-deep-compliance is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 7d ago), licensed MIT. It adds 142 tokens to every session and 1,075 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 2026-08-31.
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