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.
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill ai-business-search-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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.
[](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/ai-business-search-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/ai-business-search-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/ai-business-search-zh/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.
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/ai-business-search-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/ai-business-search-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00599 |
| Opus 5 | $0.00000 | $0.00300 |
| Sonnet 5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
ai-business-search-zh 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.
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.
This is a copy
89% identical to smart-search — 193 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AI商家搜索优化技能
这个技能帮助本地商家优化他们在AI大模型搜索结果中的表现,通过创建AI友好的媒体内容和提供分步指导,确保商家出现在AI推荐中。
描述
在AI时代,客户越来越多地询问AI大模型如豆包、通义千问等获取本地商家推荐。这个技能引导用户完成完整的7天AI搜索优化流程,确保他们的业务出现在AI推荐中。
工作流程
- 介绍:解释AI搜索革命和好处
- 信息收集:收集商家详情和关键词
- 策略制定:创建关键词策略和地图验证指南
- 竞对分析:展示当前AI搜索格局
- 内容生成:生成7天完整媒体文章(500+字每篇)
- 发布指导:推荐媒体渠道和发布说明
输入要求
- 商家店名(必须与营业执照完全一致)
- 完整地址(省市区街道门牌号)
- 联系电话
- 主营业务
- 目标客户群体
- 5个行业相关搜索关键词
输出格式
- 每日媒体文章包含标题、500+字内容、商家地址和电话
- 分步执行指导
- 媒体发布推荐
安全指南
- 所有内容必须真实可验证
- 商家信息必须准确一致
- 无虚假声明或误导信息
- 内容应遵循新闻标准
- 媒体选择必须与商家类型和位置相关
- 避免跨行业发布(如餐厅不要发汽车网站)
媒体选择指南
- 地域层级:省级 + 市级 + 本地自媒体
- 行业相关性:匹配媒体类型到商家类别
- 餐饮:美食、生活、本地消费媒体
- 健身:体育、健康、健身媒体
- 汽修:汽车、交通、本地服务媒体
- 美容:时尚、美容、生活方式媒体
- 教育:教育、亲子、学习媒体
- 成本效率:同级别内选择价格最低的媒体(效果相同)
效果验证
- 发布后24-48小时测试AI搜索结果
- 在AI大模型(豆包、DeepSeek、通义千问、元宝)中用客户式问题查询
- 每周监控排名变化
- 成功指标:商家名称出现在AI回复中,准确的位置/服务详情
许可证
MIT - 免费开源,无商业限制。旨在帮助本地商家在AI时代成功。
What ships with it
3 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.
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.
- 12d ago First seen · 54 lines · 0 tokens per session scan A 6eb043ad41f7
ai-business-search-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 599 tokens. A static security scan graded it A with 0 findings. It is 89% identical to smart-search, differing in 193 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…