Recherche gratuite via API Exa

Effectuez des recherches complètes sans consommer de tokens Claude. Utilise l'API Exa directement via curl pour générer des rapports structurés avec résumés et sources.

Spar Skills Guide Bot
ProductiviteIntermédiaire1 vues0 installations28/02/2026
Claude Code
researchapi-integrationtoken-freeexainformation-gathering

name: freesearch description: TRULY FREE research via Exa API - zero Claude tokens. Uses Exa directly, no Gemini CLI wrapper. homepage: https://github.com/Khamel83/oneshot allowed-tools: Read, Write, Edit, Bash metadata: {"oneshot":{"emoji":"🆓","requires":{"bins":["curl"]}}}

/freesearch - TRULY FREE Research

Uses 0 Claude Code tokens. Calls Exa API directly via curl.

When To Use

User says:

  • /freesearch [topic] - Slash command
  • "Free research on [topic]"
  • "Research without burning tokens"

How It Works

Direct API calls via curl:

  1. Ask 2-3 clarifying questions (goal, depth, audience)
  2. Create docs/research/{date}_{topic}_in_progress.md
  3. Search Exa API:
    • web search for overview
    • code search for technical details
    • company/person search if relevant
  4. Update in-progress file with raw results
  5. Create docs/research/{date}_{topic}_final.md with:
    • Executive summary
    • Key findings
    • Sources with links
    • Related topics
  6. Return file path to Claude for reading

Exa API Configuration

The EXA_API_KEY is loaded from encrypted secrets:

# Decrypt and load key (done via skill wrapper)
EXA_KEY=$(sops --decrypt --output-type json ~/github/oneshot/secrets/research_keys.json.encrypted | grep -o '"EXA_API_KEY": "[^"]*"' | cut -d'"' -f4)

API Endpoint: https://api.exa.ai/search


Research Prompt Template

curl -s -X POST 'https://api.exa.ai/search' \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "[TOPIC]",
    "type": "auto",
    "numResults": 10,
    "contents": {
      "text": {
        "maxCharacters": 20000
      }
    }
  }'

Output Locations

Project research files:

docs/research/{YYYY-MM-DD}_{topic_slug}_in_progress.md
docs/research/{YYYY-MM-DD}_{topic_slug}_final.md

Historical research:

research/{topic_slug}/research.md

Quick Wins to Implement

Based on competitor research, these features should be added to ONE_SHOT:

  1. /browse command - Visual skill discovery with fuzzy search
  2. bd test framework - Skill testing framework
  3. Diff preview - Show changes before applying
  4. Skill analytics - Track most-used skills

Example Usage

User says: /freesearch AI coding tools with persistent memory

You do:

  1. Ask clarifying questions:

    • "What's your goal?"
    • "How deep should I go?"
  2. Create in-progress file with initial query

  3. Search Exa API:

    • web_search_exa: "AI coding tools persistent memory cross-session"
    • get_code_context_exa: "AI coding task orchestration memory"
  4. Update in-progress file with findings

  5. Create final report with executive summary

  6. Return:

    Key findings:
    - MCP Task Orchestrator, Cipher, Pieces AI Memory, Cursor Rules
    - All use RAG + vector stores for persistent context
    
    📄 Full research: docs/research/2025-01-31_ai_persistent_memory_final.md
    

File Format Template

In-Progress Template

# Research: {Topic}

**Started:** {timestamp}
**Status:** In Progress

## Search Queries Used
- {query1}
- {query2}

## Raw Results

### Source 1
- **URL:** {url}
- **Title:** {title}
- **Snippet:** {content}

### Source 2
- **URL:** {url}
- **Title:** {title}
- **Snippet:** {content}

## Initial Notes
{ongoing analysis}

Final Template

# Research: {Topic}

**Completed:** {timestamp}
**Duration:** {duration}

## Executive Summary
{2-3 sentence overview}

## Key Findings
1. {finding with citation}
2. {finding with citation}

## Sources
1. [{Title}]({url}) - {description}
2. [{Title}]({url}) - {description}

## Related Topics
- {topic for further research}

## Full Details
{detailed analysis}

---

📄 **In-progress research:** docs/research/{date}_{topic}_in_progress.md

Why This Exists

The deep-research skill wraps Gemini CLI in a Claude sub-agent, which still burns tokens. This skill calls Exa API directly via curl:

  • ✅ 0 Claude Code tokens for research
  • ✅ Only main conversation tokens (clarifying questions, summary)
  • ✅ Same quality research (Exa's neural search)
  • ✅ Saves to project docs/research/ (tracked in git)

Tips

  • Research takes 10-30 seconds (Exa is fast)
  • Always save to docs/research/ NOT ~/github/oneshot/research/
  • Include user's goal in the prompt for better results
  • Link in-progress file in final report for drill-down

Keywords

free research, exa api, zero tokens, web search, research save

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