Wigolo

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Wigolo技能专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

Wigolo是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/wigolo
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791687996
正文体量18.4 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Wigolo当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

18.4 KB
模型实际读到的说明书原文,来自技能仓库

wigolo

Local-first web intelligence MCP server for AI coding agents. Ships ten tools over stdio. All network results land in a local knowledge cache.

Host-LLM synthesis (read me first)

Wigolo has no internal LLM. It returns structured evidence so the calling model (you) writes the final answer. Fold structure into your reply rather than collapsing it away:

  • search with format: "highlights" — ML-scored passages + citations. Quote and cite [N].
  • research — when MCP sampling is unavailable (common), the output carries a brief with topics, highlights, key_findings. Use it as the scaffold for the report you write.
  • find_similar — may return a cold_start string. Pass it to the user; it explains why results came from the web and how to warm the cache.
  • extract with mode: "structured" — one call for tables + <dl> definitions + JSON-LD + chart hints + key-value pairs.
  • fetch metadata — surfaces og_type, canonical_url, and og_image; use canonical_url to dedupe tracked/canonical URLs.

Quick Setup

Claude Code:

claude mcp add wigolo -- npx wigolo

Cursor / VS Code / any MCP client:

{
  "mcpServers": {
    "wigolo": {
      "command": "npx",
      "args": ["wigolo"]
    }
  }
}

Warmup (recommended, one-time):

npx wigolo warmup          # installs browser engine + bootstraps search engine
npx wigolo warmup --all    # also installs Firefox, WebKit, ML reranker, and embeddings
npx wigolo warmup --force  # wipe search engine state and rebuild

Warmup flags: --force, --all, --reranker, --firefox, --webkit, --embeddings, --no-searxng, --verify.

Tools

fetch

Fetch a single URL and return clean markdown. Use when you already have a specific URL.

Parameters:
- url (string, required)
- render_js: "auto" (default) | "always" | "never"
- use_auth: boolean (default false) — reuses the user's browser session
- max_chars: number
- section: string — return only the content under a heading
- section_index: number (default 0) — which heading match when multiple hit
- screenshot: boolean (default false)
- headers: object
- force_refresh: boolean — bypass cache
- actions: array of {type, selector, text, ms, timeout, direction, amount} — click, type, wait, wait_for, scroll, screenshot. Forces browser rendering when present.

Example:

{ "url": "https://react.dev/reference/react/useState", "section": "Parameters" }

Tip: section is much cheaper than reading the full page. Repeat fetches of the same URL are free from cache unless force_refresh: true.

search

Search the web and return extracted markdown per result. Use when you don't have a URL yet.

Parameters:
- query (string OR string[], required) — array runs variants in parallel and dedupes
- max_results: number (default 5, cap 20)
- include_content: boolean (default true)
- content_max_chars: number (default 30000)
- max_total_chars: number (default 50000)
- time_range: "day" | "week" | "month" | "year"
- include_domains / exclude_domains: string[]
- from_date / to_date: ISO YYYY-MM-DD
- category: "general" | "news" | "code" | "docs" | "papers" | "images"
- language: string
- search_engines: string[] — override engine selection
- format: "full" (default) | "context" (token-budgeted string) | "highlights" (ML-scored passages + citations) | "answer" (synthesized via MCP sampling; falls back to highlights when unsupported) | "stream_answer" (answer + phase progress notifications)
- max_highlights: number (default 10) — cap when format: "highlights"
- force_refresh: boolean

Example:

{ "query": ["react server components patterns", "RSC data fetching", "react server components streaming"], "category": "docs", "include_domains": ["react.dev"], "max_results": 5 }

Tip: keyword queries beat natural-language questions. A 3–5 item query array usually finds more unique sources than one longer query.

crawl

Crawl a site starting from a seed URL.

Parameters:
- url (string, required)
- strategy: "bfs" (default) | "dfs" | "sitemap" | "map" (URL-only discovery, no content)
- max_depth: number (default 2)
- max_pages: number (default 20)
- include_patterns / exclude_patterns: regex string[]
- use_auth: boolean (default false)
- extract_links: boolean (default false) — returns inter-page link graph
- max_total_chars: number (default 100000)

Example:

{ "url": "https://docs.python.org/3/library/", "strategy": "sitemap", "max_pages": 30, "include_patterns": ["^https://docs\\.python\\.org/3/library/asyncio"] }

Tip: strategy: "sitemap" is faster and more complete than BFS on doc sites. strategy: "map" returns URLs only — cheap way to scope before targeted fetches.

cache

Search previously fetched content without hitting the network.

Parameters:
- query: full-text search — supports AND, OR, NOT, "exact phrase"
- url_pattern: glob (e.g. "*react.dev*")
- since: ISO date
- stats: boolean — returns total URLs, size, date range
- clear: boolean — deletes matching entries (requires one of query, url_pattern, since)
- check_changes: boolean — re-fetches matching URLs, reports changed/unchanged with diff summaries

Example:

{ "query": "useState OR useReducer", "url_pattern": "*react.dev*" }

Tip: cache hits are instant and cross-session. Run this before search or fetch when you suspect the content is already on disk.

extract

Structured extraction from URL or raw HTML.

Parameters:
- url OR html (one required; url wins if both provided)
- mode: "metadata" (default) | "selector" | "tables" | "schema" | "structured" (tables + <dl> definitions + JSON-LD + chart hints + microdata/data-attr/grid key-value pairs in one call)
- css_selector: string — required for mode: "selector"
- multiple: boolean (default false) — return all matches, selector mode only
- schema: JSON Schema object with properties — required for mode: "schema"

Example:

{ "url": "https://example.com/product", "mode": "schema", "schema": { "type": "object", "properties": { "price": { "type": "string" }, "name": { "type": "string" }, "sku": { "type": "string" } } } }

Tip: mode: "schema" does heuristic matching over CSS classes, ARIA labels, microdata, and JSON-LD — no LLM call required. mode: "structured" returns every structured pattern on the page (tables, definitions, jsonld, chart_hints, key_value_pairs) in one response — prefer it over chaining multiple extract calls.

find_similar

Find pages related to a URL or a free-text concept.

Parameters:
- url OR concept (one required)
- max_results: number (default 10, cap 50)
- include_domains / exclude_domains: string[]
- include_cache: boolean (default true)
- include_web: boolean (default true)

Example:

{ "url": "https://react.dev/reference/react/useState", "max_results": 8, "include_domains": ["react.dev", "developer.mozilla.org"] }

Tip: uses hybrid 3-way RRF fusion — keyword search + semantic embeddings + live web search. Each result carries match_signals with embedding_rank, fts5_rank, and fused_score. If the cache is empty or embeddings aren't set up, the response includes a cold_start string — pass it to the user to explain why results came from the web.

research

Multi-step research pipeline with decomposition, parallel search, and cited synthesis.

Parameters:
- question (string, required)
- depth: "quick" (~15s, 2 sub-queries, 5–8 sources) | "standard" (~40s, default) | "comprehensive" (~80s, 7 sub-queries, 20–25 sources)
- max_sources: number (cap 50) — overrides depth default
- include_domains / exclude_domains: string[]
- schema: JSON Schema — if present, report is structured to fill these fields
- stream: boolean — emit progress notifications per phase

Example:

{ "question": "How do modern JS bundlers tree-shake ESM vs CJS?", "depth": "standard", "include_domains": ["webpack.js.org", "rollupjs.org", "esbuild.github.io", "vitejs.dev"] }

Tip: research checks cache internally — no need to pre-probe. With MCP sampling, the tool synthesizes the report directly. Without sampling (the common case), the output ships a brief with topics, highlights, and key_findings, plus the raw sources — the host LLM writes the final report from the brief.

agent

Natural-language data gathering. Plans queries and URLs from a prompt, runs them in parallel within budget, optionally applies a schema.

Parameters:
- prompt (string, required)
- urls: string[] — seed URLs to include
- schema: JSON Schema — extract structured fields per page and merge
- max_pages: number (default 10, cap 100)
- max_time_ms: number (default 60000, cap 600000)
- stream: boolean

Example:

{ "prompt": "Compare pricing tiers for Supabase, Firebase, and Clerk", "schema": { "type": "object", "properties": { "provider": { "type": "string" }, "free_tier": { "type": "string" }, "paid_start": { "type": "string" } } }, "max_pages": 12 }

Tip: output includes a steps array showing every action (plan, search, fetch, extract, synthesize) with timings. Use this to debug why an agent run produced a weak result.

diff

Compare two versions of a page. Point it at a live URL and its cached copy, two URLs, or two markdown blobs.

Parameters:
- old (object, required): one of { url, markdown, content_hash }
- new (object, required): one of { url, markdown }
- output: "unified" (default), "hunks", or "summary"
- granularity: "line" (default), "word", or "section"

Example:

{ "old": { "url": "https://docs.example.com/api" }, "new": { "url": "https://docs.example.com/api" }, "output": "hunks", "granularity": "section" }

Tip: same URL on both sides diffs the cached copy against a fresh fetch. Use output: "summary" for counts only.

watch

Monitor a page for changes over time. Lazy execution — checks run when you call check or when an overdue job is picked up during another tool run.

Parameters:
- action (string, required): "create", "list", "check", "pause", "resume", "delete"
- url or urls: single-URL or batch create (mutually exclusive)
- interval_seconds: required for create (min 60)
- selector: create-only CSS selector to scope the diff
- notification: "inline" (default) or an SSRF-guarded webhook URL
- job_id: required for check/pause/resume/delete

Example:

{ "action": "create", "url": "https://nodejs.org/en/blog", "interval_seconds": 21600 }

Tip: webhook destinations are SSRF-guarded — a job cannot be pointed at internal or loopback addresses.

Workflow Patterns

Quick routing:
- Use when search — you need information but don't have a URL.
- Use when fetch — you already have the URL.
- Use when crawl — you need multiple pages from one site.
- Use when cache — you want to check whether something is already on disk.
- Use when extract — you need specific fields, tables, or metadata, not the whole page.
- Use when find_similar — you have a good page/concept and want related content.
- Use when research — a question needs decomposition and multi-source synthesis.
- Use when agent — a natural-language task needs multi-step data gathering.
- Use when diff — you need to see what changed between two versions of a page.
- Use when watch — you want to monitor a page for changes over time.

Cache-first lookup. Before any fetch or search, probe the cache.

cache({ "query": "oauth2 pkce", "url_pattern": "*auth0.com*" })
// empty? fall through to search
search({ "query": "oauth2 pkce flow", "include_domains": ["auth0.com"] })

Fresh content (news, dashboards, changelogs). Bypass cache explicitly.

search({ "query": "node.js 22 release notes", "force_refresh": true, "time_range": "week" })
fetch({ "url": "https://nodejs.org/en/blog", "force_refresh": true })

Scoped documentation research. Crawl the relevant slice, then query cache.

crawl({ "url": "https://docs.astro.build", "strategy": "sitemap", "max_pages": 40 })
cache({ "query": "server islands hydration", "url_pattern": "*docs.astro.build*" })

Broad exploration. Pass a query array; dedup is automatic.

search({ "query": ["rust async runtimes comparison", "tokio vs async-std vs smol", "rust executor benchmarks"], "max_results": 8 })

More like this. Start with a known-good URL, widen via find_similar.

find_similar({ "url": "https://react.dev/reference/react/useMemo", "max_results": 6, "include_domains": ["react.dev"] })

Complex synthesis. One research call replaces 5+ manual search/fetch cycles.

research({ "question": "Tradeoffs of vector DBs for RAG at 100M+ embeddings", "depth": "comprehensive" })

Structured data from multiple sources. Use agent with a schema.

agent({ "prompt": "Find latency and pricing for top 5 edge compute providers", "schema": { "type": "object", "properties": { "provider": {"type":"string"}, "cold_start_ms": {"type":"string"}, "price_per_million": {"type":"string"} } } })

Table extraction. Skip markdown entirely.

extract({ "url": "https://en.wikipedia.org/wiki/List_of_programming_languages", "mode": "tables" })

One-shot structured brief. Tables + definition lists + JSON-LD + chart hints + key-value pairs in one call.

extract({ "url": "https://example.com/product-page", "mode": "structured" })

Direct quotes with citations. ML-scored passages are ideal for host-LLM synthesis.

search({ "query": "react server components data fetching", "format": "highlights", "max_highlights": 6, "include_domains": ["react.dev", "nextjs.org"] })

Parameter Cheat Sheet

Situation Tool + parameters
Focused lookup, known site search + max_results: 3 + include_domains
Broad topic survey search + query: [...3-5 variants] + max_results: 8
Fresh content required any tool + force_refresh: true
Doc site indexing crawl + strategy: "sitemap"
Site URL inventory only crawl + strategy: "map"
Single heading from long page fetch + section: "..."
Behind login fetch / crawl + use_auth: true
Direct answer (sampling client) search + format: "answer"
ML-scored passages + citations search + format: "highlights"
LLM-ready context blob search + format: "context"
Complex question, multi-source research + depth: "standard"
Structured multi-page extraction agent + schema
One-page structured data extract + mode: "structured" (everything) or "schema" / "tables" (targeted)
Change tracking cache + check_changes: true

Anti-Patterns

Do not skip the cache. Running search or fetch without probing cache wastes time on content already on disk. research and agent check cache internally; manual search/fetch do not.

Do not send natural-language questions to search. Use keywords. "how do I debounce in React hooks" loses to "react useDebounce hook custom".

Do not retry an identical failing query. Reformulate keywords, swap category, or add include_domains. Same query → same empty result.

Do not use agent or research for one-URL lookups. Use fetch. agent is for multi-source gathering; research is for decomposable questions.

Do not crawl max_pages: 100 without filters. Always add include_patterns to stay in-scope. Unfiltered crawls fetch nav, footer, and sitemap garbage.

Do not fetch whole pages when you need one section. fetch + section reads under one heading only.

Do not set force_refresh: true by default. It defeats the cache. Use it for news, status, changelogs — content that actually churns.

Do not pass a JSON Schema to extract without properties. The handler rejects schemas that lack a properties key.

CLI Commands

wigolo                  # default: start MCP server on stdio
wigolo mcp              # explicit: start MCP server
wigolo warmup [flags]   # install browser engine, bootstrap search engine, optional extras
wigolo serve            # start HTTP daemon on WIGOLO_DAEMON_PORT (default 3333)
wigolo health           # health probe, exits 0 if ok
wigolo doctor           # environment diagnostics
wigolo auth discover    # list CDP sessions (needs WIGOLO_CDP_URL)
wigolo auth status      # show configured auth paths
wigolo plugin add <git-url>    # clone plugin into ~/.wigolo/plugins/
wigolo plugin list             # list installed plugins
wigolo plugin remove <name>    # remove a plugin
wigolo shell [--json]   # interactive REPL against subsystems

Configuration

Top environment variables. All optional — defaults are safe.

Variable Default Purpose
WIGOLO_DATA_DIR ~/.wigolo Cache DB, search engine state, plugins, embeddings
SEARXNG_URL unset Point at an existing search engine (skips native bootstrap)
SEARXNG_MODE native native runs local Python search engine; docker runs container
WIGOLO_CHROME_PROFILE_PATH unset Chrome profile for use_auth: true
WIGOLO_CDP_URL unset Chrome DevTools endpoint (e.g. http://localhost:9222)
MAX_BROWSERS 3 Browser pool size
WIGOLO_BROWSER_TYPES chromium Comma list: chromium,firefox,webkit
WIGOLO_RERANKER none flashrank for ML reranking
WIGOLO_EMBEDDING_MODEL BAAI/bge-small-en-v1.5 Used by find_similar
CACHE_TTL_CONTENT 604800 (7d) Seconds before cached pages expire
LOG_LEVEL info debug | info | warn | error

Full list: see src/config.ts.

Links

  • Repository: https://github.com/1991513ccie-png
  • npm: https://www.npmjs.com/package/wigolo
  • License: GNU AGPL-3.0-only — free to use, modify, and self-host; see the root LICENSE

常见问题

5 问
答案由本站依据条目字段整理
Wigolo怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/wigolo。安装方式为未标注。装完刷新技能列表或重开客户端。

Wigolo支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Wigolo权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Wigolo收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Wigolo用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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按场景挑技能
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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。