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j-carin

web-search

by j-carin

0🍴 0📅 2026年1月20日
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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 Returns current, cited information from the internet rather than relying on potentially outdated training data.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:

  1. Cost breakdown (tokens, searches, total cost)
  2. The response text with inline citations
  3. A list of all sources with titles and URLs

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