github.com/Gaurav-Wankhede/webfind (link)

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source signals (4)

• AGENTS.mdvia agents-md

  # MANDATORY VISUAL RETENTION & ANTI-CARD LAW (YOUTUBE RETENTION PSYCHOLOGY):
  - ZERO CARD-BASED DIAGRAMS & ZERO TEXT-HEAVY OBJECTS:
    * Never render dashboard cards, rectangular container cards with bullet lists, or UI paragraph boxes during video scenes.
    * Motion Graphics Minimalism: Visuals must be purely schematic, kinetic, and minimal.
    * Single Visual Focus: Never display paragraphs of text inside diagram components.
  
  # ZERO TRUST IN TRAINING WEIGHTS — DATA-DRIVEN, PROOF-DRIVEN, VALIDATION-DRIVEN, 

• .opencode/opencode.jsonvia opencode

  {
    "$schema": "https://opencode.ai/config.json"
  }
  

• .opencodedirectoryvia opencode
• webfind/SKILL.mdvia unspecified

  # WebFind CLI Skills Reference
  
  **Purpose:** Progressive disclosure for AI agents — load only what you need.
  **Token budget:** ~800 tokens (vs 150K+ for full --help).
  **Usage:** `WEBFIND_PRINT_SKILLS=1 webfind` or `webfind --print-skills`
  
  ---
  
  ## 1. Search the Web (`--live`) or Local Index
  
  ```bash
  # Fast live web search (DuckDuckGo + Bing multi-engine RRF fusion):
  webfind search "distributed consensus protocols" --live --limit 10 --output json --output-file /tmp/search.json
  
  # Local graph memory / pre-i

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