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-appeal-rescuegit 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-appeal-rescue)<a href="https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-appeal-rescue"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-appeal-rescue/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-appeal-rescue"><img src="https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-appeal-rescue.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 | $0.00141 | $0.01029 |
| Opus 5.5 | $0.00056 | $0.00412 |
| Sonnet 5.5 | $0.00028 | $0.00206 |
| Haiku 4.5 | $0.00014 | $0.00103 |
Grade A, and why
listinggood-appeal-rescue 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.
What it actually says
亚马逊申诉 & 差评挽救 — POA 与根因分析
（ListingGood 壁垒层技能：真实后端 + 星点计费能力）
何时用
- 收到违规下架 / 账号暂停 / 知识产权投诉 / 真实性投诉；
- 大量差评突然涌来，需要定位是产品、物流还是操控评论；
- 需要一封亚马逊审核团队会认可的 POA。
POA 框架（本地可起草）
- 根因（Root Cause）：具体、可证、不推诿。错在哪一步、哪个流程。
- 即时纠正（Immediate Corrective Action）：已下架 / 已改文案 / 已移除违规库存。
- 长期预防（Preventive Action）：流程 / 系统 / 培训层面的根本性改变。
- 证据附件：采购发票、授权书、检测报告、整改截图。
反模式：模板化道歉、甩锅买家、空泛承诺——这些会被直接拒。
差评根因分析
- 区分：产品本身 / 描述不符 / 物流时效 / 预期管理 / 疑似操控评论。
- 给卖家「可回复话术 + 可改进动作」两条线。
直接调用 ListingGood 真实后端（差异化壁垒，开箱即用）
本技能可以直接调用 ListingGood 真实后端，基于自有申诉知识库生成定制化 POA 与差评分析——比通用草稿更贴合亚马逊审核口径，且消耗星点（POA 10 星 / 差评 3 星）。
前置（一次性）：https://listinggood.com 注册 → 控制台获取 API key（https://listinggood.com/api/user/apikey）。
调用（技能自带 scripts/listinggood_api.py，仅用 Python 标准库）：
export LISTINGGOOD_API_KEY="你的key"
# POA 申诉信
python3 scripts/listinggood_api.py --action poa \
--text "粘贴亚马逊违规通知 / 警告邮件内容" \
--marketplace DE --violation_type ip_complaint
# 差评根因分析
python3 scripts/listinggood_api.py --action review \
--text "粘贴买家差评内容" --marketplace US
--violation_type可选：ip_complaint / authenticity / policy / gpsr 等。- 计费：POA 10 星 / 差评 3 星（新用户免费赠 10 星）。
- 返回：可直接提交的 POA（根因 / 即时纠正 / 长期预防 / 证据清单）或差评根因分析。
- 无 key 调用被拒（401），余额不足（402）提示充值——真实计费闭环。
Published by ListingGood
- 免费预检：https://www.listinggood.com/scan
- 申诉&评论 / 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
在线版（无需安装，免费预检）
不想本地配置？直接用 ListingGood 在线版（浏览器打开即用，含免费 AI 推荐就绪度评分与 Listing 合规预检）：
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 cf8a8bf4b68e
- 1mo ago First seen · 56 lines · 141 tokens per session scan A 483e541ac285
listinggood-appeal-rescue is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 141 tokens to every session and 1,029 once invoked, about $0.0006 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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