
Web Search
Run live web lookups through your agent’s built-in WebSearch tool when facts, news, or sources need to be current—no separate search API key.
Overview
Web Search is a journey-wide agent skill that runs the agent’s built-in WebSearch tool for current facts and sources—usable whenever a solo builder needs to verify or research on the live web before committing.
Install
npx skills add https://github.com/jwynia/agent-skills --skill web-searchWhat is this skill?
- Uses the agent’s native WebSearch tool—no external API key setup
- Clear when-to-use vs when-to-skip (local work, already-known facts, advanced filters → Tavily)
- Query coaching: specificity, year for freshness, and contextual keywords
- MIT-licensed utility skill compatible with any WebSearch-capable agent
- Explicit handoff to web-search-tavily when advanced filtering is needed
Adoption & trust: 725 installs on skills.sh; 92 GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
Your agent is answering from training cutoffs when you need today’s docs, news, or citable URLs.
Who is it for?
Quick fact checks, release notes, competitor pages, and citation hunting inside an agent that already exposes WebSearch.
Skip if: Purely local code changes, answers already in your repo or docs, or workflows that need Tavily-style advanced filters without using web-search-tavily.
When should I use this skill?
You need current information not in training data, recent news, fact verification, or real-time web research—and WebSearch is available on the agent.
What do I get? / Deliverables
The agent issues focused WebSearch queries and returns sourced, up-to-date web results without extra API keys, escalating to web-search-tavily only when advanced filtering is required.
- Web search results with query context
- Sourced answers grounded in returned URLs
Recommended Skills
Journey fit
Useful at every journey phase - explore requirements and options before committing to a direction.
Where it fits
Pull current positioning and pricing pages before you narrow your MVP scope.
Verify claims and statistics you plan to put on a waitlist page.
Confirm the latest REST or SDK endpoints for a vendor you are wiring in.
Look up advisories or CVE details for a dependency you are about to ship.
Check what topics and headlines competitors published this week before drafting.
How it compares
Use for zero-setup native search instead of bolting on a separate MCP search server when basic queries suffice.
Common Questions / FAQ
Who is web-search for?
Solo and indie builders using WebSearch-capable agents who need current web facts, news, or links without configuring a third-party search API.
When should I use web-search?
During Idea research and competitor scans, Validate when checking claims or pricing pages, Build when verifying library APIs, Ship for advisory lookups, Launch for distribution/SEO facts, Grow for trend checks, and Operate when investigating live incidents—all whenever training d
Is web-search safe to install?
It instructs network web queries through your agent’s built-in tool; review the Security Audits panel on this Prism page and treat returned URLs like any untrusted web content before acting on them.
SKILL.md
READMESKILL.md - Web Search
# Web Search Search the web using the agent's built-in WebSearch capability. No external API keys required. ## When to Use This Skill Use this skill when: - You need to find current information not in your training data - The user asks about recent events, news, or updates - You need to verify facts or find sources - Research requires real-time web data Do NOT use this skill when: - Information is already in your knowledge base - You're working with local files or code - You need advanced filtering (use `web-search-tavily` instead) - A more specific research skill applies ## How to Search Use the agent's built-in **WebSearch** tool directly. The tool accepts a query string and returns relevant web results. ### Basic Search Simply invoke WebSearch with your query: ``` Query: "React 19 new features" ``` ### Effective Query Strategies **Be specific and include context:** - Bad: "react hooks" - Good: "React 19 useActionState hook tutorial" **Include the year for current information:** - Bad: "best TypeScript practices" - Good: "TypeScript best practices 2025" **Use domain-specific terms:** - Bad: "how to make website fast" - Good: "web performance optimization Core Web Vitals" ### When to Search Multiple Times Search iteratively when: 1. Initial results are too broad → Refine with more specific terms 2. Looking for multiple perspectives → Search different phrasings 3. Verifying facts → Search for corroborating sources 4. Deep research → Start broad, then drill into specifics ## Output Handling After receiving search results: 1. **Cite sources** - Always include URLs when sharing information 2. **Synthesize** - Combine information from multiple results 3. **Verify** - Cross-reference claims across sources 4. **Date-check** - Note publication dates for time-sensitive information ### Source Attribution Format When sharing information from search results: ``` According to [Source Name](URL), ... Sources: - [Title 1](url1) - [Title 2](url2) ``` ## Limitations - Results depend on the agent's WebSearch implementation - Cannot access paywalled or login-required content - May not have the most recent information (depends on indexing) - No domain filtering or relevance scoring (use `web-search-tavily` for these features) ## Related Skills - **web-search-tavily** - Advanced search with API key, domain filtering, and relevance scores - **research-workflow** - Structured research with planning and synthesis - **fact-check** - Verify specific claims against sources - **claim-investigation** - Investigate viral claims and social media content