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Skills/jackwener/opencli/smart-search
smart-search logo

smart-search

jackwener/opencli
11K installs24K stars
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Installation

npx skills add https://github.com/jackwener/opencli --skill smart-search

Summary

基于 opencli 命令的智能搜索路由器。当用户想要使用 OpenCLI、CLI 或 API 搜索、查询、查找或研究信息时,尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时,务必使用此 skill

SKILL.md

智能搜索路由器

根据话题和场景,将查询路由到最佳的 opencli 搜索源。此 skill 的核心目标不是记忆命令,而是先定位数据源,再让 Agent 通过 opencli 自己读取实时帮助,避免文档漂移。

强制预检

每次使用前,必须先做下面两步:

  • 运行 opencli list -f yaml
  • 用 live registry 确认候选站点是否存在,并检查 strategy、browser、domain

选定站点后,必须再做下面两步:

  • 运行 opencli <site> -h 查看该站点有哪些子命令
  • 若已锁定某个子命令,再运行 opencli <site> <command> -h 查看参数、输出列、策略

不要在 skill 文档里硬编码参数或假设命令签名;以 opencli ... -h 的实时输出为准。

主路由规则

只使用这一条规则,不再维护多套优先级:

  1. 当用户明确指定网站、平台或数据源时,直接使用对应网站。
  2. 当用户没有指定网站时,优先只选择一个 AI 源:grok、doubao、gemini 三选一。
  3. 当 AI 返回内容不足、缺少原始数据、需要权威佐证或需要垂直结果时,再补充 1-2 个专用源。

单题预算与频率限制

把“单个用户问题”理解为同一意图链路下的一次问题求解;同一轮追问、澄清、补充条件,若核心问题未变,仍算同一题。

先建立一份站点调用台账。每次真正执行搜索命令后,立刻更新:

  • site
  • query
  • count
  • status

计数规则:

  • opencli list -f yaml、opencli <site> -h、opencli <site> <command> -h 属于预检与帮助,不计入搜索次数
  • 一次真正的 opencli <site> ... 搜索/查询执行,计为该站点 1 次调用
  • 同站点因为报错、超时、验证码、反爬、登录态异常而失败,也算 1 次调用,不要无限重试

频率上限:

  • AI 站点硬限制:同一题内,每个 AI 站点最多调用 1 次
  • 默认策略仍然是只选 1 个 AI 站点,不要把多个 AI 站点串成常规流程
  • 只有当用户明确要求比较多个 AI 站点时,才可以额外调用其他 AI 站点;但每个被点名的 AI 站点仍然最多 1 次
  • 非 AI 站点默认最多调用 2 次
  • 非 AI 站点第 2 次调用必须有明确理由,例如第一次结果过宽,需要加时间、地区、类别、排序或关键词限定
  • 非 AI 站点不要进行第 3 次调用;若信息仍不足,停止扩搜并明确说明缺口

触发限频后的处理:

  • 记录:「已跳过:<site> 达到频率上限」
  • 优先改用其他同类站点
  • 若没有合适替代源,则直接基于已收集信息回答,并说明覆盖范围与缺口

查询结束汇报

每次查询结束后,回答末尾必须追加一段简短的“搜索摘要”,至少包含下面三项:

  • 使用了什么网站搜索
  • 每个网站搜了什么词
  • 每个网站搜了几次

如果有被限频跳过的站点,也要明确写出。

建议使用下面的固定格式:

搜索摘要
- 网站:<site1> | 查询词:<term1> | 次数:<n>
- 网站:<site2> | 查询词:<term2>;<term3> | 次数:<n>
- 已跳过:<site3>,原因:达到频率上限

AI 源选择

  • grok

适合实时讨论、英文互联网舆论、Twitter/X 语境、热点追踪。

  • doubao

适合中文语境、字节抖音生态、生活方式内容、中文热点与泛中文问答。

  • gemini

适合全球网页、英文资料、通用信息检索、背景综述。

如果用户没有指定网站,默认先判断语言和语境,再从这三个里只选一个。

一旦某个 AI 站点已经执行过一次真实查询,就不要在同一题里改写关键词后再次调用该 AI 站点。若答案不足,优先补专用源,不要反复追打同一个 AI 站点。

AI 查询词建议

当使用 AI 源时,不要只丢一个过短关键词。优先构造成“主题 + 目标 + 限定条件”的查询。

  • 主题

用户真正要查的对象、事件、产品、人物、公司、技术名词。

  • 目标

想要什么结果,例如总结、对比、原因、趋势、推荐、原始线索。

  • 限定条件

语言、地区、时间范围、平台范围、受众、价格带、岗位地点、是否要引用原始来源。

优先使用下面这种表达方式:

  • <主题> + <你要回答的问题>
  • <主题> + <时间范围/地区/语言>
  • <主题> + <平台或来源范围>
  • <主题> + <输出要求>

避免只输入:

  • 单个名词
  • 没有时间范围的热点问题
  • 没有地区限制的购物、求职、旅游问题
  • 没有平台限制的社交媒体问题

专用源补充时机

当出现以下任一情况时,再补充专用源:

  • AI 给出的是摘要,但你需要原始帖子、原始视频、原始商品或原始职位结果
  • AI 覆盖面不足,漏掉垂直站点信息
  • 需要更高权威性或更强领域相关性
  • 用户明确要求“从某个平台找”

单次查询通常控制在 1 个 AI 源 + 1 到 2 个专用源,避免结果过载。

处理不可用的源

当站点不可用时:

  • 不要因为单个源失败而中止整个搜索
  • 记录:「已跳过:<site> 不可用」
  • 回退到同类其他站点,或回退到一个 AI 源
  • 始终以 opencli list -f yaml 与 opencli <site> -h 的实际结果为准

不要假设任何站点“绝对可用”。即使是公开站点,也以当前环境中的 live help 和执行结果为准。

参考文件

根据需要读取对应文件:

  • references/sources-ai.md — AI 默认源
  • references/sources-tech.md — 技术 / 学术
  • references/sources-social.md — 社交媒体
  • references/sources-media.md — 媒体 / 娱乐
  • references/sources-info.md — 资讯 / 知识
  • references/sources-shopping.md — 购物
  • references/sources-travel.md — 旅游
  • references/sources-other.md — 其他垂直源

只读与当前查询相关的文件,无需全部加载。

Score

0–100
76/ 100

Grade

B

Popularity28/30

11,035 installs — strong, widely used. Source repo has 24,364 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Smart Search skill score badge previewScore badge

Markdown

[![Smart Search skill](https://www.remoteopenclaw.com/skills/jackwener/opencli/smart-search/badges/score.svg)](https://www.remoteopenclaw.com/skills/jackwener/opencli/smart-search)

HTML

<a href="https://www.remoteopenclaw.com/skills/jackwener/opencli/smart-search"><img src="https://www.remoteopenclaw.com/skills/jackwener/opencli/smart-search/badges/score.svg" alt="Smart Search skill"/></a>

Smart Search FAQ

How do I install the Smart Search skill?

Run “npx skills add https://github.com/jackwener/opencli --skill smart-search” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Smart Search skill do?

基于 opencli 命令的智能搜索路由器。当用户想要使用 OpenCLI、CLI 或 API 搜索、查询、查找或研究信息时,尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时,务必使用此 skill The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Smart Search skill free?

Yes. Smart Search is a free, open-source skill published from jackwener/opencli. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Smart Search work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Smart Search works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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