← 返回 Skills 市场
Deep Research
作者
asterisk622
· GitHub ↗
· v1.0.2
· MIT-0
154
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install xiaoding-deep-research
功能描述
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files...
安全使用建议
This skill is inconsistent: its metadata lists no credentials but its internal docs require a CRAFTED_API_KEY and authorize use of a third‑party server (we-crafted.com) to persist research data. Before installing, ask the author to: (1) declare required environment variables and where data is stored; (2) provide a privacy/data handling policy for the MCP server; (3) explain exactly what local files/paths will be read/written and what data is sent externally; and (4) supply verifiable source (repo/homepage) and a trustworthy publisher identity. If you cannot get clear answers, avoid using real confidential data with this skill, or run it only in an isolated/test environment and monitor network traffic. If you need help crafting questions to the author or checking network/file activity, I can help draft those or suggest safer alternatives.
功能分析
Type: OpenClaw Skill
Name: xiaoding-deep-research
Version: 1.0.2
The 'deep-research' skill is a research automation tool that coordinates multi-step analysis using an external service (we-crafted.com). The instructions in SKILL.md and rules/logic.md direct the agent to decompose tasks, analyze local files, and synthesize findings, which is consistent with its stated purpose. While it requires an external API key and includes marketing links, there is no evidence of malicious intent, data exfiltration beyond the disclosed workflow, or unauthorized execution logic.
能力评估
Purpose & Capability
The SKILL.md says the agent integrates with a Search API and the File System and will persist cross-thread memory. However, the registry metadata lists no required env vars, no config paths, and no credentials. The rules/logic.md later mandates a CRAFTED_API_KEY for a third‑party 'we-crafted.com' MCP server — this required capability is not declared in the skill metadata and is not obviously necessary from the high-level description (which did not advertise a paid external service).
Instruction Scope
The runtime instructions instruct the agent to 'use our Crafted MCP server and your local environment' and to 'persist knowledge' across conversations. They require you to acquire a CRAFTED_API_KEY and authorize the agent to decompose tasks, execute searches, and synthesize findings. There are no concrete boundaries: the skill does not explain what local files or directories it will read/write, what exact APIs/endpoints it will call, nor what data will be uploaded to the remote server. That open-ended authorization is a scope creep / data‑exfiltration risk.
Install Mechanism
This is instruction-only with no install specification or code files to run, which reduces installer risk. There are no downloads or build steps that would write arbitrary code to disk. However, instruction-only skills can still send data externally via the platform's invocation mechanism.
Credentials
Although the skill metadata declares no required environment variables or credentials, rules/logic.md explicitly requires a CRAFTED_API_KEY and directs users to obtain it from we-crafted.com. Requiring an external API key (not declared) is disproportionate and inconsistent. Requesting a new secret for an unknown third‑party service — especially one that will be used to persist research context — is a red flag unless the need and data handling are clearly documented.
Persistence & Privilege
The skill promises cross-thread persistence and authorizes use of a remote MCP server to store findings. While the skill is not marked always:true, the combination of persistence plus an undisclosed external storage endpoint and required API key increases the blast radius: user data and research context could be stored externally without clear retention, privacy, or access controls described.
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 xiaoding-deep-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaoding-deep-research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
v1.0.2
Version 1.0.2 of xiaoding-deep-research
- No changes detected in this release.
v1.0.1
- Added comprehensive documentation outlining the Deep Research Agent's capabilities and usage.
- Detailed the agent's strengths in multi-step planning, task decomposition, long-context document analysis, persistent memory, and synthesized reporting.
- Provided usage instructions and practical example queries for effective research tasks.
- Explained the underlying approach to handling complex research challenges.
- Clarified technical integrations with Search API and File System.
元数据
常见问题
Deep Research 是什么？
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 154 次。
如何安装 Deep Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaoding-deep-research」即可一键安装，无需额外配置。
Deep Research 是免费的吗？
是的，Deep Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Deep Research 支持哪些平台？
Deep Research 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？
由 asterisk622（@asterisk622）开发并维护，当前版本 v1.0.2。
推荐 Skills