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Agent Skill · 研究检索

web-research(网络研究)

web-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

web-research 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,503。

总安装 432周安装 18GitHub Stars 2下载 144核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:web-research(网络研究)
来源仓库:https://github.com/doodledood/codex-workflow
仓库路径:skills/web-research
安装命令:
npx skills add https://github.com/doodledood/codex-workflow --skill web-research
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/doodledood/codex-workflow --skill web-research

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

web-research 进行外部信息搜集与综合研判,输出 actionable 建议。适用于竞品分析、技术选型或政策合规等场景。自动定义成功标准与边界,避免范围蔓延。需用户提供核心问题,系统不支持模糊查询或开放式探索。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/web-research

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/doodledood/codex-workflow --skill web-research;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

web-research 怎么安装?

在终端执行 npx skills add https://github.com/doodledood/codex-workflow --skill web-research。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

web-research 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

web-research 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

web-research 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

web-research 用的人多吗?

公开数据是累计安装 432 次,近一周安装 18 次,下载 144 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

web-research 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
web-research

网络研究 · 本页

4322需要联网MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

User request: $ARGUMENTS

Conduct structured web research to gather external information, synthesize findings, and provide actionable recommendations.

Output file: /tmp/research-{YYYYMMDD-HHMMSS}-{topic-kebab-case}.md

Phase 1: Setup

1.1 Define Research Scope

Identify:

  • Primary question: What are we trying to learn? (single clear question)
  • Context: Why do we need this? What's the decision this informs?
  • Success criteria: What would a good answer include?
  • Scope boundary: What's explicitly NOT included in this research?

If $ARGUMENTS is vague: Ask user to clarify the primary question before proceeding.

1.2 Create Research Log

Path: /tmp/research-{YYYYMMDD-HHMMSS}-{topic-kebab-case}.md

# Research Log: {topic}
Started: {timestamp}

## Research Question
{Primary question}

## Context
{Why we need this, what decision it informs}

## Success Criteria
{What a good answer includes}

## Hypotheses
(populated in 1.3)

## Sources Consulted
(populated during research)

## Findings
(populated during research)

## Conflicts
(populated when sources disagree)

## Synthesis
(populated in Phase 3)

1.3 Form Initial Hypotheses

Before searching, document initial hypotheses:

## Hypotheses

1. H1: {What we think might be true}
   - Confidence: Low/Medium/High
   - Would falsify: {what evidence would disprove this}

2. H2: {Alternative possibility}
   - Confidence: Low/Medium/High
   - Would falsify: {what evidence would disprove this}

3. H3: {Another angle to consider}
   - Confidence: Low/Medium/High
   - Would falsify: {what evidence would disprove this}

Why hypotheses first: Prevents confirmation bias. You'll search for evidence both supporting AND refuting each hypothesis.

1.4 Create Todo List

Use update_plan:

- [ ] Research H1: {hypothesis}
- [ ] Research H2: {hypothesis}
- [ ] Research H3: {hypothesis}
- [ ] (expand as research reveals new angles)
- [ ] Synthesize findings

Phase 2: Research Loop

Memento Loop

For each hypothesis/question:

  1. Mark todo in_progress
  2. Search for evidence
  3. Write findings immediately to research log
  4. Update hypothesis status
  5. Expand todos for new angles discovered
  6. Mark todo completed
  7. Repeat until all hypotheses resolved

NEVER proceed without writing findings — research log = external memory.

2.1 Search Strategically

For each hypothesis/question:

  1. Formulate search queries

- Start broad, then narrow based on results - Use technical terms and specific version numbers - Try multiple phrasings of the same concept - Include year for time-sensitive topics

  1. Source priority (higher = more authoritative): Priority Source Type Use For 1 Official documentation Canonical behavior, API specs 2 Source code (GitHub) Ground truth implementation 3 GitHub issues/discussions Real-world problems, edge cases 4 Stack Overflow (recent) Common problems, solutions 5 Technical blogs (reputable) Tutorials, opinions, comparisons 6 General articles Background context only
  2. Evaluate source quality

- Is it official/authoritative? - Is it current (check publication date)? - Does it cite sources or show evidence? - Do multiple independent sources agree? - Is the author credible in this domain?

2.2 Document Findings

After each source, update research log immediately:

### Source: {title}
**URL**: {url}
**Date**: {publication date or "undated"}
**Authority**: Official | Expert | Community | Unknown
**Credibility**: High | Medium | Low
**Relevant to**: H1, H2

**Key findings**:
- {Finding 1}
- {Finding 2}

**Evidence**:
> "{Relevant quote}" — {source}

**Supports**: H1
**Refutes**: H2
**Conflicts with**: {other source, if any}

2.3 Update Hypotheses

As findings come in, update each hypothesis:

### H1: {hypothesis}
- Status: CONFIRMED | REFUTED | UNCERTAIN | NEEDS MORE DATA
- Confidence: Low | Medium | High
- Evidence: {summary of supporting/refuting evidence}
- Sources: {list}

2.4 Handle Conflicting Information

When sources disagree:

  1. Check dates — newer often supersedes older
  2. Check authority — official > community > individual
  3. Check specificity — exact version > general statement
  4. Check consensus — 5 sources agreeing > 1 outlier
  5. Note the conflict in research log:
## Conflicts

### {Topic of disagreement}
**Position A**: {claim} — supported by {sources}
**Position B**: {claim} — supported by {sources}
**Resolution**: {your assessment} or "Unresolved - present both"

2.5 Know When to Stop

Stop researching when:

  • Primary question is answered with high confidence
  • Multiple authoritative sources agree
  • Hypotheses are resolved (confirmed or refuted)
  • Further searching yields diminishing returns
  • You've hit time/effort limits

Diminishing returns signals:

  • Same information appearing across sources
  • No new hypotheses emerging
  • Low-quality sources dominating results

Phase 3: Synthesis

3.1 Refresh Context

Read the full research log before synthesizing. This restores all findings to recent context.

3.2 Write Synthesis

## Synthesis

### Answer to Primary Question
{Direct answer with confidence level: High/Medium/Low}

### Key Findings
1. {Most important finding with source}
2. {Second finding with source}
3. {Third finding with source}

### Hypothesis Resolution
- H1: {CONFIRMED/REFUTED/UNCERTAIN} — {evidence summary}
- H2: {CONFIRMED/REFUTED/UNCERTAIN} — {evidence summary}
- H3: {CONFIRMED/REFUTED/UNCERTAIN} — {evidence summary}

### Evidence Summary
- {Finding} supported by {N} authoritative sources
- {Finding} has conflicting information: {explain disagreement}

### Caveats and Limitations
- {What we couldn't verify}
- {Where information was sparse}
- {Potential biases in sources}
- {Time-sensitivity of findings}

### Recommendations
1. {Actionable recommendation with rationale}
2. {Alternative approach and when to use}
3. {What to watch out for}

### Sources (by authority)
**Official**:
- {Source with URL}

**Expert/Community**:
- {Source with URL}

**Other**:
- {Source with URL}

3.3 Present Summary

## Research Summary

**Question**: {Primary question}
**Confidence**: High | Medium | Low
**Research log**: /tmp/research-{...}.md

### Answer
{Concise direct answer}

### Key Findings
- {Finding 1}
- {Finding 2}
- {Finding 3}

### Recommendations
1. {What to do}
2. {What to avoid}
3. {What to monitor}

### Caveats
- {Key limitation or uncertainty}

### Top Sources
- {Most authoritative source with URL}
- {Second source with URL}

Guidelines

DO

  • Document hypotheses BEFORE searching (reduces confirmation bias)
  • Record ALL sources consulted, even unhelpful ones
  • Note contradictions between sources explicitly
  • Cite specific sources for claims
  • Acknowledge uncertainty and limitations
  • Update research log after EACH source
  • Include publication dates for all sources

DON'T

  • Cherry-pick sources that confirm expectations
  • Trust single sources for important claims
  • Ignore publication dates (outdated info is dangerous)
  • Present opinions as facts
  • Skip the synthesis step
  • Make claims without source attribution
  • Assume first result is best result

Source Authority Hierarchy

  1. Official docs — Highest authority for how things are supposed to work
  2. Source code — Ground truth for how things actually work
  3. GitHub issues — Real-world problems, edge cases, workarounds
  4. Stack Overflow — Community solutions (CHECK DATES!)
  5. Technical blogs — Opinions and tutorials (verify claims)
  6. General articles — Background only, never cite for specifics

Time Sensitivity

For technical topics:

  • Web frameworks: 6-12 months (rapidly changing)
  • Languages: 1-2 years (slower changing)
  • CS fundamentals: 5+ years (stable)
  • Security: 3-6 months (actively exploited)

Always note when information might be outdated.

Edge Cases

CaseAction
No relevant sources foundNote in log, ask user for more context or alternative terms
Conflicting authoritative sourcesPresent both positions with evidence, recommend user decide
Topic is too broadAsk user to narrow scope before researching
All sources are outdatedNote prominently, recommend user verify with official docs
Research reveals scope was wrongAsk user if they want to pivot or continue

平台分布

Claude Code

31.41%
按下载量换算45

OpenCode

26%
按下载量换算37

Antigravity

16.81%
按下载量换算24

Gemini CLI

11.58%
按下载量换算17

windsurf

8.41%
按下载量换算12

Codex

3.1%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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