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在 OpenClaw 中安装
/install wiki-retriever
功能描述
AI agent for wiki retriever tasks
安全使用建议
This skill appears to do what it says: list wiki files and read their contents to return up to 10 documents. Before installing or enabling it, verify the following: (1) what exactly the platform's get_wiki_file_paths and python_code_execution tools can access (do they see all workspace/system files or only user-uploaded ones?), (2) do you have any sensitive files in the knowledge base or working directory that you don't want read or transmitted, and (3) whether the agent will be allowed to run autonomously or require explicit confirmation. If you need to preserve confidentiality, avoid uploading secrets to the knowledge base or disable autonomous execution / restrict the python execution tool. If you want additional assurance, ask the skill author or platform admin for documentation of the tool permissions and runtime sandboxing.
功能分析
Type: OpenClaw Skill
Name: wiki-retriever
Version: 0.1.0
The `SKILL.md` file instructs the AI agent to use the `python_code_execution` tool for reading files, explicitly demonstrating `open('data.csv', 'r')` and noting files will be in the working directory `./`. While there's a caveat to ensure files are listed in `upload_files`, this instruction creates a significant prompt injection vulnerability. A malicious user could potentially craft a prompt to trick the agent into using `python_code_execution` to read arbitrary local files (e.g., `/etc/passwd`, `~/.ssh/id_rsa`) if the agent's internal safeguards are insufficient or bypassed, leading to local file disclosure. This represents a high-risk capability without clear evidence of intentional malicious behavior from the skill developer.
能力评估
Purpose & Capability
The name/description (wiki retriever) match the instructions: enumerate wiki files, read file contents, and return up to 10 files. It requests no unrelated credentials or installs.
Instruction Scope
SKILL.md instructs the agent to call get_wiki_file_paths to list the entire knowledge base and then use file-reading tools (including python_code_execution) to open and filter files. That is appropriate for a retriever, but the instructions assume the agent can execute arbitrary Python code and read any files present in the working directory/upload list — a powerful capability that could access sensitive uploaded files if present. The skill itself does not instruct reading unrelated system paths or environment variables.
Install Mechanism
No install spec or external downloads — instruction-only skill; nothing is written to disk by the skill package itself.
Credentials
No environment variables, credentials, or config paths are requested. The declared privileges are proportional to the described retrieval task.
Persistence & Privilege
The skill is not always-enabled and uses the platform default for autonomous invocation. Combined with instructions to use python_code_execution, this means the agent could autonomously run code to read files when invoked — this is expected for a retriever but increases the impact if the agent is allowed to run without human confirmation.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install wiki-retriever - 安装完成后,直接呼叫该 Skill 的名称或使用
/wiki-retriever触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
- Initial release of wiki-retriever, an AI agent for efficient document retrieval from knowledge bases.
- Implements a step-by-step workflow: first filter by file names, then confirm relevance by reading file contents.
- Strictly limits retrieval to a maximum of 10 documents; prompts user for clarification if filtering exceeds this amount.
- Gives priority to user-uploaded files and mandates content-based filtering before final selection.
- Designed to integrate with the wiki_retriever agent configuration and supports runtime variable substitution.
元数据
常见问题
Wiki Retriever 是什么?
AI agent for wiki retriever tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 775 次。
如何安装 Wiki Retriever?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wiki-retriever」即可一键安装,无需额外配置。
Wiki Retriever 是免费的吗?
是的,Wiki Retriever 完全免费(开源免费),可自由下载、安装和使用。
Wiki Retriever 支持哪些平台?
Wiki Retriever 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Wiki Retriever?
由 urrrich(@urrrich)开发并维护,当前版本 v0.1.0。
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