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web-search
by j-carin
⭐ 0🍴 0📅 Jan 20, 2026
SKILL.md
name: web-search description: Search the web for up-to-date information using GPT-5.2 with web search and high reasoning. Prefer this over webfetch when you need to research complex queries, find current info across multiple sources, get recent news, up-to-date documentation, or verify facts that may have changed since your training cutoff. Returns cited sources.
What this skill does
Searches the web using a reasoning model with web search capabilities. Returns current, cited information from the internet rather than relying on potentially outdated training data.
When to use this
- When you need current/recent information (news, updates, releases, etc.)
- When verifying facts that may have changed since training cutoff
- When researching topics that require up-to-date sources
- When the user asks about recent events or developments
- When handling complex queries that require reasoning and multiple searches
How to use
Run the search script with your query as an argument.
Query format: Use full sentences, paragraphs, or lists of questions - not keyword searches. The model handles detailed, multi-part prompts well.
uv run ~/.config/opencode/skill/web-search/search.py "your detailed query here"
Examples:
uv run ~/.config/opencode/skill/web-search/search.py "What are the latest features in Python 3.13? I'm particularly interested in the new REPL improvements and any performance enhancements."
uv run ~/.config/opencode/skill/web-search/search.py "I need to understand how Font Awesome licenses their icons. Can I use their Pro icons in an open source project? What are the restrictions for SVG downloads versus the web font?"
Important notes
- Slow: This typically takes 1-3 minutes due to web searching and reasoning. Set an appropriate timeout (180000ms+ recommended).
- Requires OPENAI_API_KEY: Must be set in environment.
- Cost: ~$0.10-0.20 per query (depends on response length and number of searches).
Output format
The script outputs:
- Cost breakdown (tokens, searches, total cost)
- The response text with inline citations
- A list of all sources with titles and URLs
Score
Total Score
50/100
Based on repository quality metrics
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