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版本数
在 OpenClaw 中安装
/install deepresearchwork
功能描述
Comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic. Use when you need to perform thorough research with multiple sources, cross-validation, and structured findings.
安全使用建议
Review before installing or using this as an automated research implementation. The markdown workflow is reasonable, but the shipped JavaScript should be treated as demo or scaffold code unless it is changed to perform real retrieval and provenance tracking. Avoid sensitive research topics if console logs or saved research files may be retained.
功能分析
Type: OpenClaw Skill
Name:
Developer:
Version:
Description: OpenClaw Agent Skill
Suspicious High-Entropy/Eval files: 1
The skill bundle defines a 'deep-research' framework. The `SKILL.md` and `README.md` provide detailed instructions for an AI agent to conduct research using OpenClaw tools like `web_search`, `web_fetch`, and `browser`. The `research_workflow.js` file implements this logic, explicitly stating its intention to use these tools. All described actions and code logic are consistent with the stated purpose of comprehensive research and lack any evidence of intentional harmful behavior such as data exfiltration, malicious execution, persistence, or prompt injection with a harmful objective. The use of network and file access tools is directly aligned with the skill's legitimate function.
能力评估
Credentials
External browsing, local report writing, and consulting prior research memory are proportionate for a research workflow, but users should know these actions may expose research topics to tools, logs, or saved files.
Install Mechanism
No install script, dependency manifest, remote payload retrieval, tool wrapping, or automatic execution mechanism was found in the inspected artifact files.
Instruction Scope
The skill openly asks agents to use web search, web fetch, browser, memory search, and write/edit tools for research, which fits the stated purpose, but the scope is broad and should stay user-directed.
Persistence & Privilege
The artifacts mention memory lookup and persistent research records, and the JavaScript logs the full research topic, but there are no background workers, services, privilege escalation, credential access, or cross-session hooks.
Purpose & Capability
The markdown purpose is coherent for a deep-research skill, but research_workflow.js does not perform real search, fetching, or verification; it generates mock URLs, mock content, fixed findings, and a fixed confidence score.
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 deepresearchwork - 安装完成后,直接呼叫该 Skill 的名称或使用
/deepresearchwork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
v1.0.0
Initial release of Deep Research skill, a comprehensive research framework.
- Provides a structured workflow for in-depth, multi-source research and verification.
- Includes detailed steps for planning, gathering, analyzing, and synthesizing information.
- Integrates web, content, and memory tools for thorough research and source evaluation.
- Offers guidance on source credibility, temporal relevance, and balancing perspectives.
- Supplies templates and best practices for generating structured research reports.
元数据
常见问题
Deep Research Work From Xian.LaoJ 是什么?
Comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic. Use when you need to perform thorough research with multiple sources, cross-validation, and structured findings. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 7150 次。
如何安装 Deep Research Work From Xian.LaoJ?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepresearchwork」即可一键安装,无需额外配置。
Deep Research Work From Xian.LaoJ 是免费的吗?
是的,Deep Research Work From Xian.LaoJ 完全免费(开源免费),可自由下载、安装和使用。
Deep Research Work From Xian.LaoJ 支持哪些平台?
Deep Research Work From Xian.LaoJ 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 Deep Research Work From Xian.LaoJ?
由 jiacode(@jiacode)开发并维护,当前版本 v1.0.0。
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