Internet Search

How to use the internet_search tool effectively — category routing, query formulation, and multi-search strategies. Use whenever web search is needed: curren...

Security Scan

The skill is an instruction-only guide for using an internet_search tool and its requirements and instructions are consistent with that purpose.

Purpose & Capability

Name/description match the SKILL.md: it advises how to use an internet_search tool (SearXNG aggregator). It does mention a self-hosted SearXNG instance but does not request endpoints or secrets — this is coherent for an instruction-only skill that expects the runtime to provide the actual tool/endpoint.

Instruction Scope

The instructions focus narrowly on query formulation, category routing, counts, and multi-search strategies. They do not instruct reading files, environment variables, or transmitting unrelated data.

Install Mechanism

No install spec and no code files — lowest-risk instruction-only artifact. Nothing is downloaded or written to disk by the skill itself.

Credentials

The skill declares no environment variables or credentials, which is proportional. Note: it references a self-hosted SearXNG aggregator; any credentials/endpoints would be provided by the runtime, not the skill.

Persistence & Privilege

Flags show default behavior (not always:true). The skill does not request persistent or elevated privileges and does not modify other skills or system settings.

Assessment

This is an instruction-only helper for using an internet_search tool; it appears coherent and low-risk. Before installing, confirm how your agent runtime implements the internet_search tool (which SearXNG endpoint or proxy it uses) and whether that endpoint logs queries—if you need privacy for queries, ensure the search proxy is configured appropriately. No credentials are requested by the skill itself, but runtime configuration may require them.

Queries a self-hosted SearXNG instance aggregating multiple search engines.

Category Routing

Always set category based on the nature of the query.

Category	When to use	Engines
general	Default. Facts, how-tos, products, people, broad web.	Brave, Bing, DDG, Startpage, Qwant, Wikipedia…
news	Recent events, breaking news, anything time-sensitive.	Bing News, DDG News
academic	Research papers, studies, medical literature, preprints.	arXiv, Google Scholar, PubMed
social	Opinions, community recommendations, "what do people think about X".	Reddit

Query Formulation

Write queries as a search engine expects — keywords, not full sentences:

# Bad
"what is the fastest async runtime for rust"

# Good
"rust async runtime benchmarks 2025"

• news: include a time anchor — "OpenAI o3 release 2025" not just "OpenAI o3"
• academic: use field terminology — "transformer attention efficiency survey"
• social: phrase as community search — "reddit best mechanical keyboard 2025"

SearXNG Search Syntax (in query)

SearXNG supports lightweight query modifiers you can embed directly into the query string:

Syntax	Meaning	Examples
!<engine> / !<category>	Select engine(s) and/or a category. Chainable and inclusive; abbreviations are accepted.	!wp paris, !wikipedia paris, !map paris, !map !ddg !wp paris
:<lang>	Language filter	:fr !wp Wau Holland

Count

• count=5 (default) — sufficient for most tasks
• count=10 — comparing many options, checking consensus
• count=3 — quick fact checks

Multi-Search Strategy

Fire multiple focused searches rather than one broad one:

# Bad: one vague search
internet_search("best way to deploy Node.js")

# Good: three targeted searches
internet_search("Node.js Docker deployment best practices 2025")
internet_search("Node.js PM2 vs Docker production", category="social")
internet_search("Node.js zero-downtime deployment strategies")

Combine general + social for factual + sentiment coverage:

internet_search("Bun runtime performance vs Node.js benchmarks")
internet_search("Bun runtime production experience", category="social")

When NOT to Use

• Things you already know with high confidence
• Stable API docs or well-known syntax — use training knowledge
• Repeating a search that already answered the question

Common Mistakes

Mistake	Fix
general for a research paper	Use category="academic"
Searching "what happened today"	Use category="news" with a specific topic
One broad search for a multi-part question	Break into 2–3 focused searches
Repeating a failed search verbatim	Rephrase with different keywords
count=20 for a simple fact	Default count=5 is almost always enough