listinggood-appeal-rescue

listinggood-appeal-rescue is a skill for Claude Code, Codex from DedeGroup/listinggood-skills. It costs 141 tokens per session (921 once invoked), scanned A, original, MIT.

A skill for preparing Amazon seller appeals and analysing negative reviews. It uses a Plan of Action, or POA, which explains the cause of a policy problem, the immediate correction, and the steps to prevent it happening again.

In plain words
What is it for?
Use it to draft Amazon appeal letters, analyse whether review problems come from the product, description, delivery, or expectations, and prepare customer replies and improvement actions.
Why use it?
It helps sellers respond to listing removals, account suspensions, intellectual-property or authenticity complaints, missing GPSR information, and sudden waves of negative reviews.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft Amazon appeal letters, analyse whether review problems come from the product, description, delivery, or expectations, and prepare customer replies and improvement actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dedegroup/listinggood-skills/listinggood-appeal-rescue
Install

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.

Any agent
npx skills add DedeGroup/listinggood-skills --skill listinggood-appeal-rescue
Clone the repo
git clone --depth 1 https://github.com/DedeGroup/listinggood-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for listinggood-appeal-rescue

README.md
[![agentmods](https://agentmods.dev/badge/skills/dedegroup/listinggood-skills/listinggood-appeal-rescue/github.svg)](https://agentmods.dev/skills/dedegroup/listinggood-skills/listinggood-appeal-rescue)
Your own site
<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.

agentmods 80×15 button for listinggood-appeal-rescue

Your own site · 80×15
<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>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 921 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.00921
Opus 5 $0.00071 $0.00461
Sonnet 5 $0.00028 $0.00184
Haiku 4.5 $0.00014 $0.00092

Measured 12d ago against content hash 483e541ac285, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/listinggood_api.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/listinggood-appeal-rescue/SKILL.md · 56 lines

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)

  1. 根因(Root Cause):具体、可证、不推诿。错在哪一步、哪个流程。
  2. 即时纠正(Immediate Corrective Action):已下架 / 已改文案 / 已移除违规库存。
  3. 长期预防(Preventive Action):流程 / 系统 / 培训层面的根本性改变。
  4. 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

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

Files

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.

Changes

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.

  1. 12d ago First seen · 56 lines · 141 tokens per session scan A 483e541ac285

Subscribe to this mod's changes

listinggood-appeal-rescue is a skill published in the GitHub repository DedeGroup/listinggood-skills (1 stars, last pushed 7d ago), licensed MIT. It adds 141 tokens to every session and 921 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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