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kany2000

QSearch Agent

by kany2000 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
171
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Install in OpenClaw
/install qsearch-agent
Description
通用搜索助手。当用户输入 /sp、/search、/找、/搜 等指令时触发,用于搜索电影、小说、股票、新闻、图片等任何内容。过滤广告和非法内容,只返回安全、可靠的搜索结果。
README (SKILL.md)

QSearch Agent 通用搜索技能

通过 web_search 工具搜索任何内容,并过滤广告和非法信息。

快速开始

/sp 盗墓笔记
/sp 股票 茅台
/sp python 教程
/sp 最新科技新闻

支持的指令

指令 说明
/sp 通用搜索
/search 同 /sp
/找 中文搜索指令
/搜 中文搜索指令

搜索示例

  • 电影/sp 盗梦空间
  • 小说/sp 三体
  • 股票/sp 腾讯控股/sp 股票 茅台
  • 教程/sp python 入门
  • 新闻/sp AI 最新消息
  • 图片/sp 风景图片

返回结果

  • 5-10 条搜索结果
  • 每条包含:标题、描述、来源链接
  • 自动过滤广告、钓鱼、非法内容

技术说明

  • 使用 Gemini + Google Search 提供搜索能力
  • 结果经过安全过滤
  • 支持中英文搜索

示例对话

你:/sp 最近好看的电影
我:为你找到以下电影...(列表)

你:帮我搜一下茅台股票
我:茅台股票最新行情...(结果)

Usage Guidance
This skill appears coherent and low-risk: it only describes using the platform web_search tool and asks for no extra credentials. Before installing, confirm your host provides the referenced search integrations (Gemini/Google) so no external API keys are needed; be aware the 'filter ads/illegal content' instruction is vague — if you need strict filtering rules (e.g., specific content policies, whitelists/blacklists), ask the skill author to document them. As always, test with non-sensitive queries first and review any logged search queries for privacy concerns.
Capability Analysis
Type: OpenClaw Skill Name: qsearch-agent Version: 1.0.0 The skill bundle defines a general-purpose search assistant (qsearch-agent) that uses markdown instructions to guide an AI agent in performing web searches. The content in SKILL.md and _meta.json is strictly aligned with its stated purpose of searching for movies, news, and stocks, and it contains no executable code, suspicious network calls, or malicious prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description (general search) matches the instructions: SKILL.md tells the agent to perform web searches (via a web_search tool) for movies, news, stocks, images, etc. It does not request unrelated privileges or credentials.
Instruction Scope
Instructions stay within search scope (return 5–10 results with title/description/link and filter ads/illegal content). The filtering requirement is high-level and subjective (relies on model/tool judgment) — SKILL.md does not define exact filtering rules or how to handle ambiguous content.
Install Mechanism
No install spec and no code files (instruction-only). Nothing is written to disk or downloaded by the skill itself.
Credentials
Skill declares no required environment variables or credentials, which is proportionate. It mentions using 'Gemini + Google Search' but does not declare API keys; this is acceptable if those services are provided by the host platform via the web_search tool — otherwise the skill should document required credentials.
Persistence & Privilege
Defaults are used (always: false, user-invocable: true). The skill does not request permanent presence or to modify other skills or system config.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qsearch-agent
  3. After installation, invoke the skill by name or use /qsearch-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug qsearch-agent
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is QSearch Agent?

通用搜索助手。当用户输入 /sp、/search、/找、/搜 等指令时触发,用于搜索电影、小说、股票、新闻、图片等任何内容。过滤广告和非法内容,只返回安全、可靠的搜索结果。 It is an AI Agent Skill for Claude Code / OpenClaw, with 171 downloads so far.

How do I install QSearch Agent?

Run "/install qsearch-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is QSearch Agent free?

Yes, QSearch Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does QSearch Agent support?

QSearch Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created QSearch Agent?

It is built and maintained by kany2000 (@kany2000); the current version is v1.0.0.

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