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Agent Skill · 研究检索

web-search-pro(网络搜索专业版)

web-search-pro 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-search-pro 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,权限为接触敏感数据;许可证信息还不明确,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 30,558。

总安装 2,863周安装 123GitHub Stars 2下载 1,004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
unknown

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-search-pro(网络搜索专业版)
来源仓库:https://github.com/zjianru/web-search-pro
仓库路径:skills/web-search-pro
安装命令:
npx skills add https://github.com/zjianru/web-search-pro --skill web-search-pro
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zjianru/web-search-pro --skill web-search-pro

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-search-pro 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/web-search-pro

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/zjianru/web-search-pro --skill web-search-pro;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

    它需要接触敏感数据,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-search-pro 怎么安装?

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

web-search-pro 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-search-pro 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

web-search-pro 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

web-search-pro 用的人多吗?

公开数据是累计安装 2,863 次,近一周安装 123 次,下载 1,004 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-search-pro 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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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-search-pro

网络搜索专业版 · 本页

2,8632接触敏感数据未明确有提醒

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

Web Search Pro 2.1

This skill is for agents that need more than one-shot web search.

Use it when the caller needs:

  • live web search or current-events lookup
  • news search with explainable routing
  • official docs, API docs, or code lookup
  • company, product, or competitor research
  • site crawl, site map, or docs discovery
  • a structured evidence pack that can be handed back to an upstream model

This skill is not a narrative report writer. Its job is to search, retrieve, structure, and expose evidence clearly enough that the upstream model can keep reasoning on top of it.

Use This Skill When

  • the task starts with web search but may continue into extraction or research
  • the agent needs to know why a provider was selected
  • the agent may need federated search instead of a single provider
  • no-key baseline behavior matters for the first run
  • runtime diagnostics or capability discovery are part of the workflow

Do Not Use This Skill When

  • the caller only wants the lightest possible single-shot web search wrapper
  • the task expects a hosted scraping service
  • the task expects the skill itself to write the final polished narrative report
  • the caller needs an unlimited no-key search guarantee

Quick Start

The shortest successful path is:

  • start with the no-key baseline
  • add one premium provider only when stronger recall or freshness is needed
  • then try docs, news, and research flows

Option A: No-key baseline

No API key is required for the first successful run.

Baseline roles:

  • ddg: best-effort web search
  • fetch: no-key extract / crawl / map fallback
node {baseDir}/scripts/doctor.mjs --json
node {baseDir}/scripts/bootstrap.mjs --json
node {baseDir}/scripts/search.mjs "OpenAI Responses API docs" --json

What these commands are for:

  • doctor.mjs: is the runtime usable right now?
  • bootstrap.mjs: what can the agent rely on right now?
  • search.mjs: prove the baseline retrieval path succeeds before adding provider credentials

Option B: Add one premium provider

If only one premium provider is added, start with TAVILY_API_KEY.

Reason:

  • one credential improves general web search
  • one credential improves news search
  • one credential improves extract quality
export TAVILY_API_KEY=tvly-xxxxx
node {baseDir}/scripts/doctor.mjs --json
node {baseDir}/scripts/search.mjs "latest OpenAI news" --type news --json

First successful searches

node {baseDir}/scripts/search.mjs "OpenClaw web search" --json
node {baseDir}/scripts/search.mjs "OpenAI Responses API docs" --preset docs --plan --json
node {baseDir}/scripts/extract.mjs "https://platform.openai.com/docs" --json

Then try docs, news, and research

node {baseDir}/scripts/search.mjs "OpenAI Responses API docs" --preset docs --json
node {baseDir}/scripts/search.mjs "latest OpenAI news" --type news --json
node {baseDir}/scripts/research.mjs "OpenClaw search skill landscape" --plan --json

Runtime Contract

The agent should treat these fields as the primary runtime contract.

Routing fields

  • selectedProvider The planner's primary route. It does not mean "the only provider used".
  • routingSummary Compact route explanation with selectionMode, confidence, topSignals, alternatives, blocked providers, and federation summary.
  • routing.diagnostics Full route diagnostics exposed by --explain-routing or --plan.

Federation fields

  • federated.providersUsed Providers that actually returned results when fanout is active.
  • federated.value.additionalProvidersUsed Number of non-primary providers that really contributed.
  • federated.value.resultsRecoveredByFanout Final results that would disappear in primary-only mode.
  • federated.value.resultsCorroboratedByFanout Final results supported by both the primary and at least one fanout provider.
  • federated.value.duplicateSavings Exact or near-duplicate results removed by merge.

Cache and execution fields

  • cached Whether the result came from cache.
  • cache Cache age / TTL telemetry for agent decisions.
  • renderLane Runtime availability and policy summary for the browser-backed render lane.
  • failed Failed providers or failed retrieval units for the current command.
  • meta Command-level execution metadata and task input shaping.

Research fields

  • topicType Primary topic class for the research pack.
  • topicSignals Mixed-topic hints such as docs + latest.
  • researchAxes Why the research pack decomposed into a given set of subquestions.
  • claimClusters Evidence grouped by normalized claim.
  • candidateFindings Candidate conclusions with support profile and gap sensitivity.
  • uncertainties Remaining uncertainty and follow-up-sensitive gaps.

Why Federated Search Matters

Federation is not just "more providers". It makes multi-provider gain visible so an agent can tell whether fanout improved the final result set.

Important gain metrics:

  • federated.value.additionalProvidersUsed
  • federated.value.resultsRecoveredByFanout
  • federated.value.resultsCorroboratedByFanout
  • federated.value.duplicateSavings
  • routingSummary.federation.value

Interpretation:

  • recovered results answer "what did fanout rescue?"
  • corroborated results answer "what got stronger support?"
  • duplicate savings answer "what noise did merge remove?"

Commands By Task

Search

node {baseDir}/scripts/search.mjs "query" --json
node {baseDir}/scripts/search.mjs "query" --plan --json
node {baseDir}/scripts/search.mjs "latest OpenAI news" --type news --json
node {baseDir}/scripts/search.mjs "OpenAI Responses API docs" --preset docs --plan --json
node {baseDir}/scripts/search.mjs "query" --engine serpapi --search-engine baidu --json

User-facing inputs:

  • searchType Current shipped values are web | news.
  • intentPreset Current shipped values are general | code | company | docs | research.

Important boundary:

  • searchType and intentPreset shape routing input
  • engine remains the explicit provider override

Extract and render

node {baseDir}/scripts/extract.mjs "https://example.com/article" --json
node {baseDir}/scripts/extract.mjs "https://example.com/article" --render --render-policy fallback --json
node {baseDir}/scripts/extract.mjs "https://example.com/article" --plan
node {baseDir}/scripts/render.mjs "https://example.com/article" --json

Crawl and map

node {baseDir}/scripts/crawl.mjs "https://example.com/docs" --depth 2 --max-pages 10 --json
node {baseDir}/scripts/map.mjs "https://example.com/docs" --depth 2 --max-pages 50 --json

Research

node {baseDir}/scripts/research.mjs "OpenClaw search skill landscape" --json
node {baseDir}/scripts/research.mjs "OpenClaw search skill landscape" --plan --json

Runtime inspection

node {baseDir}/scripts/capabilities.mjs --json
node {baseDir}/scripts/doctor.mjs --json
node {baseDir}/scripts/bootstrap.mjs --json
node {baseDir}/scripts/review.mjs --json
node {baseDir}/scripts/cache.mjs stats --json
node {baseDir}/scripts/health.mjs --json

Benchmarking

node {baseDir}/scripts/eval.mjs list --json
node {baseDir}/scripts/eval.mjs run --suite core --json
node {baseDir}/scripts/eval.mjs run --suite research --json
node {baseDir}/scripts/eval.mjs run --suite head-to-head --json
node {baseDir}/scripts/eval.mjs run --suite head-to-head-live --json

Research Pack Boundary

research.mjs is a model-facing evidence layer, not a final narrative answer layer.

The skill is responsible for:

  • question decomposition
  • retrieval planning
  • evidence normalization
  • source prioritization
  • claim clustering
  • compact candidate findings
  • uncertainty exposure

The upstream model remains responsible for:

  • final reasoning across the evidence pack
  • narrative synthesis
  • user-facing writing style
  • final judgment when evidence is incomplete or conflicting

Detailed contract:

Runtime Config

Default config path:

  • {baseDir}/config.json

Override path:

  • WEB_SEARCH_PRO_CONFIG=/path/to/config.json

Config precedence:

CLI flags > process.env > config.json > built-in defaults

When the skill is run directly outside OpenClaw, provider keys must already exist in the shell environment. If OpenClaw launches the skill, its injected runtime environment is sufficient.

Key config areas:

  • routing
  • cache
  • health
  • fetch
  • crawl
  • render

Important routing config fields:

  • routing.allowNoKeyBaseline
  • routing.enableFederation
  • routing.federationTriggers
  • routing.maxFanoutProviders
  • routing.maxPerProvider
  • routing.mergePolicy
  • routing.fallbackPolicy

Important render config fields:

  • render.enabled
  • render.policy
  • render.budgetMs
  • render.waitUntil
  • render.blockTypes
  • render.sameOriginOnly

Provider Upgrade Paths

No API key is required for the baseline. Optional provider credentials or endpoints unlock stronger coverage:

Optional provider credentials or endpoints unlock enhanced features.

TAVILY_API_KEY=tvly-xxxxx
EXA_API_KEY=exa-xxxxx
QUERIT_API_KEY=xxxxx
SERPER_API_KEY=xxxxx
BRAVE_API_KEY=xxxxx
SERPAPI_API_KEY=xxxxx
YOU_API_KEY=xxxxx
SEARXNG_INSTANCE_URL=https://searx.example.com

# Perplexity / Sonar: choose one transport path
PERPLEXITY_API_KEY=xxxxx
OPENROUTER_API_KEY=xxxxx
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
KILOCODE_API_KEY=xxxxx

# Or use a custom OpenAI-compatible gateway
PERPLEXITY_GATEWAY_API_KEY=xxxxx
PERPLEXITY_BASE_URL=https://gateway.example.com/v1
PERPLEXITY_MODEL=perplexity/sonar-pro

Provider roles:

  • Tavily: strongest premium default for general search, news, and extract
  • Exa: semantic retrieval and extract fallback
  • Querit: multilingual AI search with native geo and language filters
  • Serper: Google-like search with strong news and locale coverage
  • Brave: structured general web search
  • SerpAPI: multi-engine routing including Baidu and Yandex
  • You.com: LLM-ready web search with freshness and mixed web/news coverage
  • SearXNG: self-hosted privacy-first metasearch fallback
  • Perplexity / Sonar: answer-first grounded search via native or gateway transport
  • DDG: best-effort no-key baseline search
  • Fetch: no-key extract / crawl / map baseline
  • Render: optional local browser lane

Validation And Review

The most useful validation surfaces for agents and maintainers are:

  • capabilities.mjs What this environment can truly do right now.
  • doctor.mjs Is the runtime ready, degraded, or blocked?
  • bootstrap.mjs What can an upstream agent safely assume?
  • review.mjs What are the current safety and compliance boundaries?
  • health.mjs Which providers are degraded or cooling down?
  • eval.mjs Has behavior regressed against core, research, or comparative suites?

The bundled head-to-head suite focuses on route-first comparisons against a local ../web-search-plus checkout.

The bundled head-to-head-live suite adds real networked comparisons for freshness and citation quality under shared provider credentials.

Review-Safe Guarantees

  • metadata only declares node as the hard runtime requirement
  • provider credentials are optional
  • ddg is a best-effort no-key baseline, not a guaranteed high-recall provider
  • Safe Fetch rejects non-HTTP(S), credential-bearing, local, private, and metadata targets
  • redirect targets are revalidated
  • Safe Fetch keeps JavaScript execution disabled
  • browser render is optional and off by default
  • browser render uses a local headless browser only when enabled
  • browser render reports anti-bot or challenge interstitials as failures instead of silent success
  • provider health distinguishes degraded from cooldown

Docs

平台分布

Codex

34.03%
按下载量换算342

Claude

30.34%
按下载量换算305

Cursor

18.62%
按下载量换算187

Gemini CLI

9.24%
按下载量换算93

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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