MCPInstall

grepai-search-advanced

Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-advanced
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads grepai-search-advanced automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

GrepAI Advanced Search Options

This skill covers advanced search options including JSON output, compact mode, and integration with AI agents.

When to Use This Skill

  • Integrating GrepAI with scripts or tools
  • Using GrepAI with AI agents (Claude, GPT)
  • Processing search results programmatically
  • Reducing token usage in AI contexts

Command-Line Options

OptionDescription
--limit NNumber of results (default: 10)
--json / -jJSON output format
--toon / -tTOON output format (~50% fewer tokens than JSON)
--compact / -cCompact output (no content, works with --json or --toon)

Note: --json and --toon are mutually exclusive.

JSON Output

Standard JSON

grepai search "authentication" --json

Output:

{
  "query": "authentication",
  "results": [
    {
      "score": 0.89,
      "file": "src/auth/middleware.go",
      "start_line": 15,
      "end_line": 45,
      "content": "func AuthMiddleware() gin.HandlerFunc {\n    return func(c *gin.Context) {\n        token := c.GetHeader(\"Authorization\")\n        if token == \"\" {\n            c.AbortWithStatus(401)\n            return\n        }\n        claims, err := ValidateToken(token)\n        ...\n    }\n}"
    },
    {
      "score": 0.82,
      "file": "src/auth/jwt.go",
      "start_line": 23,
      "end_line": 55,
      "content": "func ValidateToken(tokenString string) (*Claims, error) {\n    ..."
    }
  ],
  "total": 2
}

Compact JSON (AI Optimized)

grepai search "authentication" --json --compact

Output:

{
  "q": "authentication",
  "r": [
    {
      "s": 0.89,
      "f": "src/auth/middleware.go",
      "l": "15-45"
    },
    {
      "s": 0.82,
      "f": "src/auth/jwt.go",
      "l": "23-55"
    }
  ],
  "t": 2
}

Key differences:

  • Abbreviated keys (s vs score, f vs file)
  • No content (just file locations)
  • ~80% fewer tokens for AI agents

TOON Output (v0.26.0+)

TOON (Token-Oriented Object Notation) is an even more compact format, optimized for AI agents.

Standard TOON

grepai search "authentication" --toon

Output:

[2]{content,end_line,file_path,score,start_line}:
  "func AuthMiddleware()...",45,src/auth/middleware.go,0.89,15
  "func ValidateToken()...",55,src/auth/jwt.go,0.82,23

Compact TOON (Best for AI)

grepai search "authentication" --toon --compact

Output:

[2]{end_line,file_path,score,start_line}:
  45,src/auth/middleware.go,0.89,15
  55,src/auth/jwt.go,0.82,23

TOON vs JSON Comparison

FormatTokens (5 results)Best For
JSON~1,500Scripts, parsing
JSON compact~300AI agents
TOON~250AI agents
TOON compact~150Token-constrained AI

When to Use TOON

  • Use TOON when integrating with AI agents that support it
  • Use TOON compact for maximum token efficiency (~50% smaller than JSON compact)
  • Stick with JSON for traditional scripting (jq, programming languages)

Compact Format Reference

Full KeyCompact KeyDescription
queryqSearch query
resultsrResults array
scoresSimilarity score
filefFile path
start_line/end_linelLine range ("15-45")
totaltTotal results

Combining Options

# 5 results in compact JSON
grepai search "error handling" --limit 5 --json --compact

# 20 results in full JSON
grepai search "database" --limit 20 --json

AI Agent Integration

For Claude/GPT Prompts

Use compact mode to minimize tokens:

# Agent asks for context
grepai search "payment processing" --json --compact --limit 5

Then provide results to the AI with file read tool for details.

Workflow Example

  1. Search for relevant code:
grepai search "authentication middleware" --json --compact --limit 3
  1. Get response:
{
  "q": "authentication middleware",
  "r": [
    {"s": 0.92, "f": "src/auth/middleware.go", "l": "15-45"},
    {"s": 0.85, "f": "src/auth/jwt.go", "l": "23-55"},
    {"s": 0.78, "f": "src/handlers/auth.go", "l": "10-40"}
  ],
  "t": 3
}
  1. Read specific files: AI reads src/auth/middleware.go:15-45 for full context.

Scripting with JSON

Bash + jq

# Get just file paths
grepai search "config" --json | jq -r '.results[].file'

# Filter by score
grepai search "config" --json | jq '.results[] | select(.score > 0.8)'

# Count results
grepai search "config" --json | jq '.total'

Python

import subprocess
import json

result = subprocess.run(
    ['grepai', 'search', 'authentication', '--json'],
    capture_output=True,
    text=True
)

data = json.loads(result.stdout)
for r in data['results']:
    print(f"{r['score']:.2f} | {r['file']}:{r['start_line']}")

Node.js

const { execSync } = require('child_process');

const output = execSync('grepai search "authentication" --json');
const data = JSON.parse(output);

data.results.forEach(r => {
    console.log(`${r.score.toFixed(2)} | ${r.file}:${r.start_line}`);
});

MCP Integration

GrepAI provides MCP tools with format selection (v0.26.0+):

# Start MCP server
grepai mcp-serve

MCP tools support JSON (default) or TOON format:

MCP ToolParameters
grepai_searchquery, limit, compact, format
grepai_trace_callerssymbol, compact, format
grepai_trace_calleessymbol, compact, format
grepai_trace_graphsymbol, depth, format
grepai_index_statusformat

Format Parameter

{
  "name": "grepai_search",
  "arguments": {
    "query": "authentication",
    "format": "toon",
    "compact": true
  }
}

Valid values: "json" (default) or "toon"

Token Optimization

Token Comparison

For a typical search with 5 results:

FormatApproximate Tokens
Human-readable~2,000
JSON full~1,500
JSON compact~300

When to Use Each Format

FormatUse Case
Human-readableManual inspection
JSON fullScripts needing content
JSON compactAI agents, token-limited contexts

Piping Results

To File

grepai search "authentication" --json > results.json

To Another Tool

# Open results in VS Code
grepai search "config" --json | jq -r '.results[0].file' | xargs code

# Copy first result path to clipboard (macOS)
grepai search "config" --json | jq -r '.results[0].file' | pbcopy

Batch Searches

Run multiple searches:

#!/bin/bash
queries=("authentication" "database" "logging" "error handling")

for q in "${queries[@]}"; do
    echo "=== $q ==="
    grepai search "$q" --json --compact --limit 3
    echo
done

Error Handling

JSON Error Response

When search fails:

{
  "error": "Index not found. Run 'grepai watch' first.",
  "code": "INDEX_NOT_FOUND"
}

Checking for Errors in Scripts

result=$(grepai search "query" --json)
if echo "$result" | jq -e '.error' > /dev/null 2>&1; then
    echo "Error: $(echo "$result" | jq -r '.error')"
    exit 1
fi

Best Practices

  1. Use compact for AI agents: 80% token savings
  2. Use full JSON for scripts: When you need content
  3. Use human-readable for debugging: Easier to read
  4. Limit results appropriately: Don't fetch more than needed
  5. Check for errors: Parse JSON response properly

Output Format

Advanced search output (JSON compact):

{
  "q": "authentication middleware",
  "r": [
    {"s": 0.92, "f": "src/auth/middleware.go", "l": "15-45"},
    {"s": 0.85, "f": "src/auth/jwt.go", "l": "23-55"},
    {"s": 0.78, "f": "src/handlers/auth.go", "l": "10-40"}
  ],
  "t": 3
}

Token estimate: ~80 tokens (vs ~800 for full content)

FAQ

What does the grepai-search-advanced skill do?

Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.

How do I install grepai-search-advanced?

Run npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-advanced in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/grepai-search-advanced/ (personal) or .claude/skills/grepai-search-advanced/ (project).

Which AI agents can use grepai-search-advanced?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is grepai-search-advanced safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains grepai-search-advanced?

It is published by yoanbernabeu in yoanbernabeu/grepai-skills. It has 828 recorded installs.

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