🔬 110 Deep Research Pro — 多源深度研究代理

v1.0.0

多功能深度研究代理,搜索网络、整合发现并交付带引用报告。无需API密钥,使用DuckDuckGo搜索。包含结构化工作流程:明确用户目标、规划研究、搜索网络/新闻、深度阅读来源、整合报告并交付结果。

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smallkeyboy 头像by @smallkeyboy (smallKeyboy)·MIT-0
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License
MIT-0
最后更新
2026/4/16
0
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可疑
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OpenClaw
可疑
medium confidence
该技能声称的研究目的看似合理,但存在多个不一致之处:硬编码的外部脚本依赖(指向另一技能的ddg脚本)、元数据中引用的文件缺失、运行时指令中的绝对路径,使其行为不明确,在安装前值得仔细审查。
评估建议
不要盲目安装。在使用该技能前,请验证以下几点:1)检查引用的ddg-search脚本是否实际存在于 /home/clawdbot/clawd/skills/ddg-search/scripts/ddg(或更新SKILL.md为相对路径或已记录的依赖项)。2)确认仓库和作者——README中的git URL(https://github.com/parags/deep-research-pro)与注册表元数据中的主页/所有者不一致;这可能是打包错误。3)该包宣传了scripts/research和自动安装行为,但这些文件在清单中缺失——请作者提供完整包或包含缺失的脚本。4)审查curl + python一键逻辑(通过regex剥离HTML)并考虑在沙箱中运行——获取任意URL并处理其内容可能存在安全和隐私影响。5)如果允许代理生成子代理,请确保您的代理策略和'sessions_spawn'机制在您的环境中安全(模型名称和读取路径是硬编码的)。如果无法确认这些项目,请在隔离环境中运行该技能或向维护者请求更正后的完整版本。...
详细分析 ▾
用途与能力
该技能声称无需API密钥即可进行网络研究,这符合描述。然而它需要位于 /home/clawdbot/clawd/skills/ddg-search/scripts/ddg 的特定外部脚本(未包含)并引用了文件清单中不存在的本地scripts/research CLI。通过硬编码路径依赖另一技能的不可执行文件是不成比例且脆弱的——合法的研究技能应该明确包含或记录该依赖项。
指令范围
SKILL.md指示代理运行绝对路径的二进制文件,并通过curl和python一键式(用regex剥离HTML)获取任意URL。它还告诉子代理读取特定的本地路径(/home/clawdbot/...)并将报告保存到~/clawd/research。虽然获取页面和保存报告是研究中的预期行为,但对其他技能使用绝对路径、生成具有显式文件读取的子代理,以及执行获取的内容处理一键式操作扩大了操作范围,如果这些路径或脚本与主机环境不匹配,可能导致意外行为。
安装机制
没有安装规范(仅限指令),这最小化了磁盘安装风险。然而README/package.json宣传了脚本和自动安装依赖项(uv、scripts/research),这些在包清单中并不存在,表明存在需要解决的打包不一致问题。
凭证需求
该技能声明没有所需的环境变量、没有凭证、也没有配置路径。这对于使用公共搜索和curl的网络研究技能是相称的;没有对无关密钥的请求。
持久化与权限
always:false 且没有尝试修改其他技能或系统级配置。该技能将报告保存到用户主目录(~/clawd/research),这对其目的是合理的。默认允许生成子代理,自身并非红旗。
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/4/16

- Deep Research Pro技能初始发布。 - 使用DuckDuckGo搜索实现多源深度研究和带引用报告。 - 无需付费API密钥;使用内置脚本和curl进行数据收集。 - 结构化工作流程:明确用户目标、规划研究、搜索网络/新闻、深度阅读来源、整合报告并交付结果。 - 强调来源可信度、信息时效性以及对信息缺口的透明度。

可疑

安装命令

点击复制
官方npx clawhub@latest install 110-deep-research-pro
镜像加速npx clawhub@latest install 110-deep-research-pro --registry https://cn.longxiaskill.com

技能文档

A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.

How It Works

当用户询问任何主题的研究时,请遵循此工作流程:

Step 1: Understand the Goal (30 seconds)

Ask 1-2 quick clarifying questions:

  • "What's your goal — learning, making a decision, or writing something?"
  • "Any specific angle or depth you want?"

If the user says "just research it" — skip ahead with reasonable defaults.

Step 2: Plan the Research (think before searching)

Break the topic into 3-5 research sub-questions. For example:

  • Topic: "Impact of AI on healthcare"
  • What are the main AI applications in healthcare today?
  • What clinical outcomes have been measured?
  • What are the regulatory challenges?
  • What companies are leading this space?
  • What's the market size and growth trajectory?

Step 3: Execute Multi-Source Search

For EACH sub-question, run the DDG search script:

# Web search
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg "" --max 8

# News search (for current events) /home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "" --max 5

Search strategy:

  • Use 2-3 different keyword variations per sub-question
  • Mix web + news searches
  • Aim for 15-30 unique sources total
  • Prioritize: academic, official, reputable news > blogs > forums

Step 4: Deep-Read Key Sources

For the most promising URLs, fetch full content:

curl -sL "" | python3 -c "
import sys, re
html = sys.stdin.read()
# Strip tags, get text
text = re.sub('<[^>]+>', ' ', html)
text = re.sub(r'\s+', ' ', text).strip()
print(text[:5000])
"

Read 3-5 key sources in full for depth. Don't just rely on search snippets.

Step 5: Synthesize & Write Report

Structure the report as:

# [Topic]: Deep Research Report

Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]

Executive Summary

[3-5 sentence overview of key findings]

1. [First Major Theme]

[Findings with inline citations]

2. [Second Major Theme]

...

3. [Third Major Theme]

...

Key Takeaways

  • [Actionable insight 1]
  • [Actionable insight 2]
  • [Actionable insight 3]

Sources

  • Title — [one-line summary]
  • ...

Methodology

Searched [N] queries across web and news. Analyzed [M] sources. Sub-questions investigated: [list]

Step 6: Save & Deliver

Save the full report:

mkdir -p ~/clawd/research/[slug]
# Write report to ~/clawd/research/[slug]/report.md

Then deliver:

  • Short topics: Post the full report in chat
  • Long reports: Post the executive summary + key takeaways, offer full report as file

Quality Rules

  • Every claim needs a source. No unsourced assertions.
  • Cross-reference. If only one source says it, flag it as unverified.
  • Recency matters. Prefer sources from the last 12 months.
  • Acknowledge gaps. If you couldn't find good info on a sub-question, say so.
  • No hallucination. If you don't know, say "insufficient data found."

Examples

"Research the current state of nuclear fusion energy"
"Deep dive into Rust vs Go for backend services in 2026"
"Research the best strategies for bootstrapping a SaaS business"
"What's happening with the US housing market right now?"

For Sub-Agent Usage

When spawning as a sub-agent, include the full research request and context:

sessions_spawn(
  task: "Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow. Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first. Goal: [user's goal] Specific angles: [any specifics] Save report to ~/clawd/research/[slug]/report.md When done, wake the main session with key findings.",
  label: "research-[slug]",
  model: "opus"
)

Requirements

  • DDG search script: /home/clawdbot/clawd/skills/ddg-search/scripts/ddg
  • curl (for fetching full pages)
  • No API keys needed!
数据来源ClawHub ↗ · 中文优化:龙虾技能库