npx skills add https://github.com/kostja94/marketing-skills --skill brand-monitoring指导持续的品牌监控——在造成损害之前,检测假冒、商标侵权、假冒产品和品牌滥用。作为 brand-protection(反应性:报告、下架)的补充;此技能涵盖主动监控设置和工具选择。
调用时机:在首次使用时,如果合适,用1-2句话开场,说明此技能涵盖的内容及其重要性,然后提供主要输出。在后续使用或用户要求跳过时,直接进入主要输出。
首先检查项目上下文: 如果存在 .claude/project-context.md 或 .cursor/project-context.md,请读取其中的品牌名称、官方域名和关键资产。
识别:
| 渠道 | 威胁 |
|---|---|
| 域名 | 域名抢注、品牌+ai、品牌+app、假冒网站 |
| 社交媒体 | 虚假账户、假冒、未经授权使用 |
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| 市场平台 | 假冒产品、未经授权的卖家(Amazon、eBay、Temu) |
| 付费搜索 | 竞争对手对品牌关键词竞价;假冒者广告 |
| 应用商店 | 虚假应用、商标滥用 |
| 网络 | 钓鱼网站、仿冒页面 |
| 方法 | 频率 |
|---|---|
| 搜索 | 品牌名称 + 变体(品牌+ai、品牌+app、品牌+official) |
| Google Alerts | 品牌名称、产品名称 |
| 社交媒体搜索 | X、LinkedIn、Instagram 上的品牌提及 |
| 市场平台搜索 | Amazon、eBay 上的假冒商品列表 |
提示:记录发现;当确认侵权时,升级到 brand-protection 进行下架处理。
| 能力 | 描述 |
|---|---|
| AI 检测 | 机器学习、图像识别、NLP,用于跨渠道检测滥用 |
| 多渠道 | 域名、社交媒体、市场平台、付费搜索、暗网 |
| 执行 | 案例管理、下架工作流、平台集成 |
| 商标监控 | USPTO、商标局监控;诉讼洞察 |
供应商类型:BrandShield、Tracer Protect、CompuMark、CounterFind——根据覆盖范围、执行率和预算进行评估。
| 级别 | 频率 | 适用场景 |
|---|---|---|
| 基础 | 每周搜索;Google Alerts | 低风险;预防性 |
| 标准 | 每日警报;每月市场平台检查 | 中等风险 |
| 企业级 | 实时监控;专用供应商 | 高价值品牌;先前事件 |
每周安装量
123
仓库
GitHub 星标数
244
首次出现
14 天前
安全审计
安装于
cursor114
gemini-cli113
kimi-cli113
codex113
opencode113
github-copilot113
Guides ongoing brand monitoring—detecting impersonation, trademark infringement, counterfeit products, and brand abuse before they cause harm. Complements brand-protection (reactive: report, takedown); this skill covers proactive monitoring setup and tool selection.
When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read for brand name, official domain, and key assets.
Identify:
| Channel | Threats |
|---|---|
| Domains | Typosquatting, brand+ai, brand+app, impersonation sites |
| Social media | Fake accounts, impersonation, unauthorized use |
| Marketplaces | Counterfeit products, unauthorized sellers (Amazon, eBay, Temu) |
| Paid search | Competitors bidding on brand terms; impersonator ads |
| App stores | Fake apps, trademark misuse |
| Web | Phishing sites, spoofed pages |
| Method | Frequency |
|---|---|
| Search | Brand name + variants (brand+ai, brand+app, brand+official) |
| Google Alerts | Brand name, product names |
| Social search | X, LinkedIn, Instagram for brand mentions |
| Marketplace search | Amazon, eBay for counterfeit listings |
Tip : Document findings; escalate to brand-protection for takedown when infringement is confirmed.
| Capability | Description |
|---|---|
| AI detection | Machine learning, image recognition, NLP to detect abuse across channels |
| Multi-channel | Domains, social, marketplaces, paid search, dark web |
| Enforcement | Case management, takedown workflows, platform integrations |
| Trademark watch | USPTO, trademark office monitoring; litigation insights |
Vendor types : BrandShield, Tracer Protect, CompuMark, CounterFind—evaluate by coverage, enforcement rate, and budget.
| Level | Cadence | Use |
|---|---|---|
| Basic | Weekly search; Google Alerts | Low-risk; preventive |
| Standard | Daily alerts; monthly marketplace check | Moderate risk |
| Enterprise | Real-time monitoring; dedicated vendor | High-value brand; prior incidents |
Weekly Installs
123
Repository
GitHub Stars
244
First Seen
14 days ago
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
cursor114
gemini-cli113
kimi-cli113
codex113
opencode113
github-copilot113
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42,600 周安装