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ads-audit广告审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

9,610

周安装

385

GitHub Stars

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下载量

3,111
CodexClaudeCursorGemini CLI

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

unknown

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:ads-audit(广告审核)
来源仓库:https://github.com/agricidaniel/claude-ads
仓库路径:skills/ads-audit
安装命令:
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-audit
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-audit

简介

用于跨平台广告账户安全审计与合规检查,识别配置风险、跟踪漏洞与权限问题。

  • 可检测 Google、Meta、LinkedIn 等平台的数据完整性、转化设置与创意规范。
  • 需收集各平台导出文件或 API 访问权限,按标准流程逐项验证并生成审计报告。
  • 安装命令为 npx skills add https://github.com/agricidaniel/claude-ads --skill ads-audit,建议确认最小权限与敏感信息脱敏方式。
  • ads-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Full Multi-Platform Ads Audit

Process

  1. Collect account data: request exports, screenshots, or API access
  2. Validate: confirm at least one platform's data is available before proceeding
  3. Detect business type: analyze account signals per ads orchestrator
  4. Identify active platforms: determine which platforms are in use
  5. Delegate to subagents (if available, otherwise run inline sequentially):

- audit-google: Conversion tracking, wasted spend, structure, keywords, ads, settings (G01-G74) - audit-meta: Pixel/CAPI health, creative fatigue, structure, audience (M01-M46) - audit-creative: LinkedIn, TikTok, Microsoft creative checks + cross-platform synthesis - audit-tracking: LinkedIn, TikTok, Microsoft tracking + cross-platform tracking health - audit-budget: LinkedIn, TikTok, Microsoft budget/bidding + cross-platform allocation - audit-compliance: All-platform compliance, settings, performance benchmarks

  1. Validate: verify each subagent returned valid scores with required fields before aggregating
  2. Score: calculate per-platform and aggregate Ads Health Score (0-100)
  3. Report: generate prioritized action plan with Quick Wins

Data Collection

Ask the user for available data. Accept any combination:

  • Google Ads: account export, Change History, Search Terms Report
  • Meta Ads: Ads Manager export, Events Manager screenshot, EMQ scores
  • LinkedIn Ads: Campaign Manager export, Insight Tag status
  • TikTok Ads: Ads Manager export, Pixel/Events API status
  • Microsoft Ads: account export, UET tag status, import validation results

If no exports available, audit from screenshots or manual data entry.

Scoring

Read ads/references/scoring-system.md for full algorithm.

Per-Platform Weights

PlatformCategory Weights
GoogleConversion 25%, Waste 20%, Structure 15%, Keywords 15%, Ads 15%, Settings 10%
MetaPixel/CAPI 30%, Creative 30%, Structure 20%, Audience 20%
LinkedInTech 25%, Audience 25%, Creative 20%, Lead Gen 15%, Budget 15%
TikTokCreative 30%, Tech 25%, Bidding 20%, Structure 15%, Performance 10%
MicrosoftTech 25%, Syndication 20%, Structure 20%, Creative 20%, Settings 15%

Aggregate Score

Aggregate = Sum(Platform_Score x Platform_Budget_Share)
Grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40)

Output Files

  • ADS-AUDIT-REPORT.md: Comprehensive multi-platform findings
  • ADS-ACTION-PLAN.md: Prioritized recommendations (Critical > High > Medium > Low)
  • ADS-QUICK-WINS.md: Items fixable in <15 minutes with high impact

Report Structure

Executive Summary

  • Aggregate Ads Health Score (0-100) with grade
  • Per-platform scores
  • Business type detected
  • Active platforms identified
  • Top 5 critical issues across all platforms
  • Top 5 quick wins across all platforms

Per-Platform Sections

Each platform section includes:

  • Platform Health Score with grade
  • Category breakdown with pass/warning/fail per check
  • Platform-specific Quick Wins
  • Detailed findings with remediation steps

Cross-Platform Analysis

  • Budget allocation assessment (actual vs recommended)
  • Tracking consistency (are all platforms tracking the same events?)
  • Creative consistency (is messaging aligned across platforms?)
  • Attribution overlap (are platforms double-counting conversions?)

Strategic Recommendations

  • Platform prioritization based on business type
  • Budget reallocation recommendations
  • Scaling opportunities (platforms/campaigns ready to scale)
  • Kill list (campaigns/ad groups to pause immediately)

Priority Definitions

  • Critical: Revenue/data loss risk (fix immediately)
  • High: Significant performance drag (fix within 7 days)
  • Medium: Optimization opportunity (fix within 30 days)
  • Low: Best practice, minor impact (backlog)

Quick Wins Criteria

IF severity == "Critical" OR severity == "High"
AND estimated_fix_time < 15 minutes
THEN flag as Quick Win
SORT BY (severity_multiplier x estimated_impact) DESC

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.21%
按下载量换算1,033

Claude

31.53%
按下载量换算981

Cursor

17.66%
按下载量换算549

Gemini CLI

8.71%
按下载量换算271

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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