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dispute-resolver争议解决者

Agent Skill

dispute-resolver 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,745

周安装

153

GitHub Stars

公开资料未说明

下载量

1,212
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dispute-resolver(争议解决者)
来源仓库:https://github.com/leooooooow/dispute-resolver
安装命令:
openclaw skills install dispute-resolver
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install dispute-resolver

简介

用于生成针对退款请求和客户纠纷的专业答复。

  • 适合保护卖家利益同时维护买家关系,提升客服效率。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • 安装方式:clawhub,命令为 openclaw skills install dispute-resolver。
  • 当前暂无明确使用限制或风险提示。

SKILL.md

name
dispute-resolver
description
Generate professional, evidence-grounded responses to refund requests and customer disputes that protect the seller while keeping the buyer relationship intact.

Dispute Resolver

Refund disputes and escalated complaints are one of the highest-stakes interactions an ecommerce seller faces — handle them poorly and you risk negative reviews, platform penalties, or lost customers; handle them well and you can convert a frustrated buyer into a loyal one. This skill generates professional, structured responses to customer disputes that are grounded in the evidence you provide, compliant with platform policies, and calibrated to de-escalate tension while protecting your legitimate business interests.

Use when

  • A buyer on TikTok Shop opens a refund dispute claiming the product arrived damaged, but your tracking data shows it was delivered successfully and the customer has already used the item, and you need a professional response that presents your evidence without sounding defensive or dismissive.
  • A Shopee customer is threatening to leave a one-star review unless they receive a full refund for a product they received correctly but claim does not match the listing description, and you need to draft a response that addresses the claim point-by-point while proposing a reasonable resolution that avoids escalation.
  • You received a platform-mediated dispute notification from Amazon and need to write a formal seller response that follows Amazon's case submission format, references the relevant policy, and presents your fulfillment evidence clearly to the dispute review team.
  • A wholesale buyer is withholding payment claiming a quality issue with a batch delivery, and you need a structured written response that acknowledges the concern, presents your QC documentation, and proposes a partial credit resolution without admitting liability.

What this skill does

This skill takes the dispute context you describe — including the customer's claim, your evidence, platform policies in play, and your preferred resolution — and generates a polished, structured response document. The response is calibrated for the appropriate formality level (platform dispute portal, direct message, or written letter), organized to present your evidence logically, acknowledge the customer's experience without conceding fault, and propose a clear resolution path. Where applicable, the skill flags which platform policy clauses support your position and which aspects of the claim would be difficult to contest.

Inputs required

  • Dispute summary (required): Describe what the customer claims, when they made the claim, what they are requesting, and the platform or channel where the dispute was filed (e.g., TikTok Shop dispute center, Amazon A-to-z claim, direct email).
  • Evidence available (required): List the evidence you have — delivery tracking records, order photos, QC reports, chat logs, product description screenshots, or any other documentation. The quality of your evidence directly determines how strong a response the skill can generate.
  • Preferred resolution (optional): State what outcome you are willing to offer — full refund, partial refund, replacement, store credit, or no concession. If omitted, the skill will recommend the resolution most likely to close the dispute while protecting your seller metrics.

Output format

The output is a Dispute Response Document structured in four parts. Part one is an Opening Acknowledgment that validates the customer experience without admitting fault, written in de-escalating language. Part two is an Evidence Summary presenting your factual record in chronological or logical order with clear reference labels for each piece of evidence. Part three is a Policy Reference block citing the relevant platform or contractual terms that support your position. Part four is a Resolution Proposal offering a specific, time-bound next step with clear acceptance instructions. For platform-specific submissions, the output is also formatted to fit character limits and required field structures.

Scope

  • Designed for: ecommerce operators, TikTok Shop sellers, brand teams, wholesale account managers
  • Platform context: TikTok Shop, Shopee, Amazon, Shopify, platform-agnostic
  • Language: English

Limitations

  • Does not access live platform dispute portals or submit responses automatically — all responses must be manually copied and submitted by the seller.
  • Responses are not legal advice. For disputes involving injury claims, fraud allegations, or significant financial exposure, consult a qualified lawyer before responding.
  • Response effectiveness depends on the quality and completeness of the evidence provided — the skill cannot fabricate or strengthen evidence that does not exist.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.23%
按下载量换算888

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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