Multi-Engine Web Search

Search Google, Bing, DuckDuckGo, Brave, Startpage, Yahoo, Yandex, Baidu, Sogou, Qwant, Ecosia, Mojeek, and WolframAlpha from one skill.

Security Scan

The skill's requirements and instructions match its stated purpose: it is an instruction-only multi-search helper that performs web_fetch calls and stores minimal preference data locally, with no unexpected credentials or installs.

Purpose & Capability

Name and description (multi-engine web search) align with the instructions and listed engines. There are no unrelated required binaries, environment variables, or config paths declared.

Instruction Scope

Instructions are scoped to running web_fetch queries against many search engine URLs, applying operator patterns, and storing small preference memory. This is coherent for the stated purpose. Note: the skill directs the agent to read/write ~/multi-engine-web-search/memory.md and to save activation preferences into the agent's main memory — both are reasonable for a preference-oriented skill but are actions the user should be aware of.

Install Mechanism

Instruction-only skill with no install spec and no code files — lowest install risk. There is nothing downloaded or written during an install step beyond the runtime memory file described in the SKILL.md/setup.md.

Credentials

The skill requests no credentials or env vars (proportional). However, its core behavior is to send every query to multiple external search providers; sensitive queries (PII, secrets) will be transmitted to several third parties. This is a privacy/coverage tradeoff rather than an incoherence, but users should assume queries are externally visible to the listed engines.

Persistence & Privilege

always:false (normal). The skill persists a small preferences file in the user's home directory and asks to update the agent's main memory with activation preferences. Writing its own small memory file is reasonable; updating the agent's main memory is expected for activation behavior but is a privileged action the user should approve.

Assessment

This skill appears to do what it says: run the same query across multiple search engines and keep a small local preferences file. Before installing or enabling it, consider: (1) Privacy — every query will be sent to multiple external search providers, so do not submit passwords, secrets, or sensitive personal data. (2) Activation behavior — it will store preferences in ~/multi-engine-web-search/memory.md and may add an activation flag to your agent memory; review that file and the agent memory change if you want to control when it runs. (3) Configure blocked engines or 'on_request' activation if you want to limit external exposure or avoid particular regional engines. If you want stronger guarantees, ask the skill author for explicit handling of sensitive queries (e.g., automatic prompt to confirm before sending) or keep the activation mode set to manual.

Setup

On first use, read setup.md to define activation behavior and preferred engine order, then store the preference profile.

When to Use

Use this when one engine is not enough and you need broader coverage, faster cross-checking, and cleaner verification.

Architecture

Store minimal preferences in ~/multi-engine-web-search/. See memory-template.md.

~/multi-engine-web-search/
`-- memory.md   # activation mode, engine priority, blocked engines, and output style

Quick Reference

Topic	File
Setup flow and activation policy	setup.md
Minimal memory schema	memory-template.md

Search Engines

Global Engines (12)

• Google: https://www.google.com/search?q={keyword}
• Google HK: https://www.google.com.hk/search?q={keyword}
• Bing: https://www.bing.com/search?q={keyword}
• Yahoo: https://search.yahoo.com/search?p={keyword}
• DuckDuckGo: https://duckduckgo.com/html/?q={keyword}
• Brave: https://search.brave.com/search?q={keyword}
• Startpage: https://www.startpage.com/sp/search?query={keyword}
• Qwant: https://www.qwant.com/?q={keyword}
• Ecosia: https://www.ecosia.org/search?q={keyword}
• Mojeek: https://www.mojeek.com/search?q={keyword}
• Swisscows: https://swisscows.com/web?query={keyword}
• AOL Search: https://search.aol.com/aol/search?q={keyword}

Regional Engines (9)

• Baidu: https://www.baidu.com/s?wd={keyword}
• Bing CN: https://cn.bing.com/search?q={keyword}&ensearch=0
• Bing INT (CN endpoint): https://cn.bing.com/search?q={keyword}&ensearch=1
• Sogou: https://www.sogou.com/web?query={keyword}
• 360 Search: https://www.so.com/s?q={keyword}
• Yandex: https://yandex.com/search/?text={keyword}
• Naver: https://search.naver.com/search.naver?query={keyword}
• Seznam: https://search.seznam.cz/?q={keyword}
• CocCoc: https://coccoc.com/search?query={keyword}

Knowledge and Developer Engines (6)

• WolframAlpha: https://www.wolframalpha.com/input?i={keyword}
• Wikipedia: https://en.wikipedia.org/w/index.php?search={keyword}
• GitHub Search: https://github.com/search?q={keyword}
• Stack Overflow Search: https://stackoverflow.com/search?q={keyword}
• Semantic Scholar: https://www.semanticscholar.org/search?q={keyword}
• PubMed: https://pubmed.ncbi.nlm.nih.gov/?term={keyword}

Engine Shortcuts

Shortcut	Engine
!g	Google
!ghk	Google HK
!b	Bing
!y	Yahoo
!ddg	DuckDuckGo
!br	Brave
!sp	Startpage
!qw	Qwant
!eco	Ecosia
!mj	Mojeek
!sw	Swisscows
!aol	AOL Search
!ba	Baidu
!bcn	Bing CN
!sg	Sogou
!360	360 Search
!ydx	Yandex
!nav	Naver
!sz	Seznam
!cc	CocCoc
!wa	WolframAlpha
!w	Wikipedia
!gh	GitHub Search
!so	Stack Overflow
!ss	Semantic Scholar
!pm	PubMed

Quick Examples

// 1) Basic multi-engine pass
web_fetch({"url": "https://www.google.com/search?q=llm+agent+framework"})
web_fetch({"url": "https://duckduckgo.com/html/?q=llm+agent+framework"})
web_fetch({"url": "https://search.brave.com/search?q=llm+agent+framework"})

// 2) Site-specific verification
web_fetch({"url": "https://www.bing.com/search?q=site:github.com+fastapi+auth"})

// 3) Filetype query
web_fetch({"url": "https://www.google.com/search?q=rag+evaluation+filetype:pdf"})

// 4) Recency-focused query
web_fetch({"url": "https://www.google.com/search?q=ai+policy+2026&tbs=qdr:m"})

// 5) Knowledge query
web_fetch({"url": "https://www.wolframalpha.com/input?i=150+USD+to+EUR"})

Advanced Operators

Operator	Example	Purpose
site:	site:arxiv.org agentic ai	Limit to one domain
filetype:	filetype:pdf model card	Find specific formats
""	"context window"	Exact phrase
-	python -snake	Exclude noisy term
OR	llama OR mistral	Alternative terms
intitle:	intitle:benchmark llm	Keyword in page title
inurl:	inurl:docs authentication	Keyword in URL

Time Filters

Pattern	Example	Purpose
tbs=qdr:h	Google past hour	Breaking updates
tbs=qdr:d	Google past day	Daily changes
tbs=qdr:w	Google past week	Weekly updates
before:	ai act before:2026-03-01	Upper date bound
after:	ai act after:2025-01-01	Lower date bound

Core Rules

1. Check Preferences First

Before searching, read memory preferences:

• activation mode (always, on-request, or mixed)
• preferred engine order
• blocked engines
• output style (fast summary or evidence-heavy)

2. Always Use Multi-Engine Batches

Run at least 3 engines per request: one mainstream, one privacy engine, and one alternate index.

3. Add a Contradiction Query

For every important claim, run one query that looks for disagreement, failures, or corrections.

4. Prefer Primary Sources

If sources conflict, prioritize original docs, direct announcements, and first-party datasets.

5. Verify Date Context

For current topics, verify publication date and event date before final conclusions.

6. Return Evidence First

Output must include direct answer, best links, and confidence in one concise block.

Common Traps

• Using only one engine and assuming top results are correct.
• Forgetting contradiction queries on high-impact decisions.
• Treating copied news rewrites as independent confirmation.
• Ignoring date filters for rapidly changing topics.
• Returning link dumps without a clear recommendation.

External Endpoints

Endpoint Family	Data Sent	Purpose
Public search engines listed above	query text	Multi-engine retrieval and cross-checking
Knowledge and developer engines listed above	query text	Technical, scientific, and code verification

No other data is sent externally.

Related Skills

Install with clawhub install <slug> if user confirms:

• analysis - Turn search findings into clear conclusions
• compare - Compare options side by side with tradeoffs
• web - Inspect pages deeply after initial retrieval
• in-depth-research - Expand into long-form investigations
• elasticsearch - Build custom search backends when needed

Feedback

• If useful: clawhub star multi-engine-web-search
• Stay updated: clawhub sync