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ad-claim-risk-checker广告索赔风险检查器

Agent Skill

ad-claim-risk-checker 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

5,236

周安装

216

GitHub Stars

公开资料未说明

下载量

1,711
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:ad-claim-risk-checker(广告索赔风险检查器)
来源仓库:https://github.com/leooooooow/ad-claim-risk-checker
安装命令:
openclaw skills install ad-claim-risk-checker
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 ad-claim-risk-checker

简介

分析广告文案,通过标记不受支持的、绝对的或敏感的措辞并提供更安全的重写替代方案来识别和减少有风险的声明。

SKILL.md

Ad Claim Risk Checker

Review ecommerce ad copy for claim risk before it gets turned into paid ads, creator briefs, PDP language, or live selling scripts.

Use this skill when a user wants to pressure-test ad copy, hooks, product claims, or creator talking points that might create compliance, platform, or credibility risk. It is useful for spotting overclaims, unsupported promises, absolute wording, implied guarantees, and phrases likely to trigger ad review issues or customer distrust.

Use when

  • Reviewing paid ad copy before launch
  • Checking creator talking points for risky wording
  • Sanitizing PDP or landing page claims before amplification
  • Comparing a bold claim version with a safer alternative
  • Reducing platform review risk without making copy useless

Do not use when

  • The user needs formal legal advice or regulatory opinions
  • There is no claim language to review
  • The task is general brand writing with no risk concern

Inputs to ask for

  • Exact copy to review
  • Channel: TikTok, Meta, landing page, PDP, live, creator script, email
  • Product category
  • Evidence level: testimonials, studies, internal data, none
  • Market / geography if relevant
  • Desired tone: aggressive / balanced / conservative

Workflow

  1. Extract the explicit and implied claims
  2. Classify claim risk by type
  3. Flag unsupported, absolute, or sensitive wording
  4. Rewrite the copy into safer alternatives
  5. Explain what changed and why

Output requirements

Return:

  1. Original claim breakdown
  2. Risk rating by line or claim cluster
  3. Why the risk exists
  4. Safer rewrites
  5. Optional stronger-but-still-safer variation

Risk types to watch

  • Absolute outcomes
  • Time-bound guarantees
  • Health / body / financial outcomes
  • Unqualified superiority claims
  • Unsupported quantified performance claims
  • Implied certainty or universal fit

Quality bar

  • Practical for operators and growth teams
  • Clear risk explanations
  • Rewrites still usable in real ads
  • Avoids robotic compliance-speak
  • No fake legal certainty

Example prompts

  • Check this TikTok ad script for risky claims and rewrite it safely
  • Review these creator talking points before we send the brief
  • Flag the dangerous lines in this landing page hero copy

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

70.88%
按下载量换算1,213

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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