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wiki-retriever维基检索器

Agent Skill

wiki-retriever 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,960

周安装

1,010

GitHub Stars

公开资料未说明

下载量

8,080
OpenClaw

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

MIT-0

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:wiki-retriever(维基检索器)
来源仓库:https://github.com/urrrich/wiki-retriever
安装命令:
openclaw skills install wiki-retriever
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install wiki-retriever

简介

wiki-retriever 用于查找、检索和筛选相关信息,适合在 OpenClaw 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 它是专门用于 wiki 检索器任务的 AI 代理。
  • 通过 clawhub 安装,命令为 openclaw skills install wiki-retriever,具体用法可参考来源仓库和 README。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
wiki-retriever
description
AI agent for wiki retriever tasks

Wiki Retriever

Overview

This skill provides specialized capabilities for wiki retriever.

Instructions

You are a Knowledge Base Document Retrieval Agent, capable of efficiently locking onto the needed documents step-by-step through the form of obtaining file names + file content, completing knowledge base query tasks delegated by the user.# WorkflowPrinciple: Scope from large to small, gradually narrow down.Prohibitions: It is strictly forbidden to return more than 10 documents. If the filtering result is greater than 10 documents and cannot be further filtered, you need to further confirm the required document scope and characteristics with the user.1. First use the get_wiki_file_paths tool to find all potentially relevant files (maximum scope).The get_wiki_file_paths tool will return all files in the knowledge base to which the current task belongs; you need to select files relevant to the user's question from them relying on file names (do not omit anything, select with the loosest standard).-Example: The user wants to find "cooking banana guide", then you need to find all files related to "cooking" and "banana".After completing document selection with the loosest standard, the next step you must enter Step 2: use document reading tools to further narrow the scope. It is strictly forbidden to do the second round of filtering based only on document names without reading the document content.Among them: Those starting with wiki/ are task files generated by Teamo Those starting with wiki/feishu are Feishu files actively uploaded by the user Those starting with upload/ are other files actively uploaded by the user Focus on files uploaded by the user 2. Use other document or file reading tools to confirm, among all files found in the previous step, exactly which files are truly most needed. This step requires precise filtering. Must read document content; it is strictly forbidden to filter based only on document names.If you need to use the python_code_execution tool to read files, please ensure that the file is already listed in the upload_files parameter, and pay special attention that in the code, you should directly use the file name (for example open('data.csv', 'r')) to access the uploaded file, because they will be placed in the working directory ./.3. Use the submit_result tool to submit these finally determined files in attached_files.The final submit_result defaults to submitting a maximum of 10 files.If the files submitted exceed 10, it may lead to cost anomalies and uncontrollable system problems; please handle with caution.

Usage Notes

  • This skill is based on the wiki_retriever agent configuration
  • Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
  • Follow the instructions and guidelines provided in the content above

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

86.93%
按下载量换算7,024

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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