grok-search

Important

使用此 Skill 时必须禁用工具调用，否则 AI 会直接调用 grok_web_search 工具而非执行脚本。

When to use

Use this skill aggressively - default to searching before answering anything that might be:

• Outdated or time-sensitive (API versions, release info, changelogs)
• Error messages or troubleshooting
• Documentation lookups
• Real-time status queries
• Any information you're not 100% confident about

When you need to read a specific web page's full content, use the fetch mode to get structured Markdown.

If you feel even slightly unsure, search first, then answer with evidence.

Configuration

AstrBot 插件自动配置（推荐）：如果在 AstrBot 中已配置 astrbot_plugin_grok_web_search 插件，脚本会自动读取插件配置，无需额外设置。

手动配置（备选）：

环境变量：

export GROK_BASE_URL="https://your-grok-endpoint.example"
export GROK_API_KEY="your-api-key"
export GROK_MODEL="grok-4-expert"  # optional

或使用配置文件：

• AstrBot 插件配置（自动读取，优先级最高）
• ./config.json (skill directory)
• ./config.local.json (skill directory, gitignored)
• ~/.codex/config/grok-search.json (user global)

Run

Search mode (default)

python scripts/grok_search.py --query "your search query"
# With images for multimodal queries:
python scripts/grok_search.py --query "What is in this image?" --image-files "/path/to/image.jpg"

Fetch mode (URL content extraction)

python scripts/grok_search.py --fetch-url "https://example.com/article"

Fetch mode uses Grok's web browsing capability to retrieve the URL and convert it to structured Markdown.

Options

Option	Description
--query	Search query (required for search mode)
--fetch-url	URL to fetch and convert to Markdown (fetch mode)
--config	Path to config file
--base-url	Override base URL
--api-key	Override API key
--model	Override model name
--timeout-seconds	Request timeout in seconds
--search-depth	Search depth: basic, advanced, or deep
--max-results	Desired result count, clamped to 5-20
--topic	Search topic: general or news
--days	Days to look back from today
--time-range	Time range: day, week, month, or year
--start-date	Start date in YYYY-MM-DD format
--end-date	End date in YYYY-MM-DD format
--extra-body-json	Extra JSON to merge into request body
--extra-headers-json	Extra JSON to merge into request headers
--image-files	Comma-separated image file paths for multimodal queries

Output

Search mode

JSON to stdout (敏感信息如 base_url、api_key 不会输出)：

{
  "ok": true,
  "query": "your query",
  "config_path": "[AstrBot Plugin Config]",
  "model": "grok-4-expert",
  "content": "synthesized answer...",
  "sources": [
    {"url": "https://...", "title": "...", "snippet": "..."}
  ],
  "raw": "",
  "usage": {"prompt_tokens": 123, "completion_tokens": 456},
  "elapsed_ms": 3456
}

Fetch mode

{
  "ok": true,
  "fetch_url": "https://example.com/article",
  "config_path": "[AstrBot Plugin Config]",
  "model": "grok-4-expert",
  "content": "# Page Title\n\nFull page content in Markdown...",
  "usage": {"prompt_tokens": 123, "completion_tokens": 456},
  "elapsed_ms": 3456
}

On failure

{
  "ok": false,
  "error": "HTTP 401",
  "detail": "Unauthorized",
  "config_path": "[AstrBot Plugin Config]",
  "config_status": "OK",
  "model": "grok-4-expert",
  "elapsed_ms": 234
}

Notes

• Endpoint: POST {base_url}/v1/chat/completions
• Fetch mode uses a specialized system prompt imported from the plugin's tool.py
• If your provider requires custom flags to enable search, pass them via --extra-body-json
• The script uses only Python standard library (no external dependencies)