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SKILL.md
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SKILL.md
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---
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name: tavily-search
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description: "通过Tavily API进行网络搜索(Brave的替代方案)。当用户要求搜索网页/查找来源/查找链接且Brave web_search不可用或不需要时使用。"
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---
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# Tavily Search
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Use the bundled script to search the web with Tavily.
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## Requirements
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- Provide API key via either:
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- environment variable: `TAVILY_API_KEY`, or
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- `~/.openclaw/.env` line: `TAVILY_API_KEY=...`
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## Commands
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Run from the OpenClaw workspace:
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```bash
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# raw JSON (default)
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python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5
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# include short answer (if available)
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python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --include-answer
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# stable schema (closer to web_search): {query, results:[{title,url,snippet}], answer?}
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python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format brave
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# human-readable Markdown list
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python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format md
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```
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## Output
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### raw (default)
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- JSON: `query`, optional `answer`, `results: [{title,url,content}]`
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### brave
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- JSON: `query`, optional `answer`, `results: [{title,url,snippet}]`
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### md
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- A compact Markdown list with title/url/snippet.
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## Notes
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- Keep `max-results` small by default (3–5) to reduce token/reading load.
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- Prefer returning URLs + snippets; fetch full pages only when needed.
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_meta.json
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_meta.json
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{
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"ownerId": "kn78hhhbxwjs4nrcyn8my5fcw981wmys",
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"slug": "openclaw-tavily-search",
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"version": "0.1.0",
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"publishedAt": 1772121679343
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}
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scripts/tavily_search.py
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scripts/tavily_search.py
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#!/usr/bin/env python3
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import argparse
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import json
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import os
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import pathlib
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import re
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import sys
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import urllib.request
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TAVILY_URL = "https://api.tavily.com/search"
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def load_key():
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key = os.environ.get("TAVILY_API_KEY")
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if key:
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return key.strip()
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env_path = pathlib.Path.home() / ".openclaw" / ".env"
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if env_path.exists():
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try:
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txt = env_path.read_text(encoding="utf-8", errors="ignore")
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m = re.search(r"^\s*TAVILY_API_KEY\s*=\s*(.+?)\s*$", txt, re.M)
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if m:
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v = m.group(1).strip().strip('"').strip("'")
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if v:
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return v
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except Exception:
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pass
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return None
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def tavily_search(query: str, max_results: int, include_answer: bool, search_depth: str):
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key = load_key()
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if not key:
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raise SystemExit(
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"Missing TAVILY_API_KEY. Set env var TAVILY_API_KEY or add it to ~/.openclaw/.env"
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)
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payload = {
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"api_key": key,
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"query": query,
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"max_results": max_results,
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"search_depth": search_depth,
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"include_answer": bool(include_answer),
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"include_images": False,
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"include_raw_content": False,
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}
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data = json.dumps(payload).encode("utf-8")
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req = urllib.request.Request(
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TAVILY_URL,
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data=data,
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headers={"Content-Type": "application/json", "Accept": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req, timeout=30) as resp:
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body = resp.read().decode("utf-8", errors="replace")
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try:
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obj = json.loads(body)
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except json.JSONDecodeError:
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raise SystemExit(f"Tavily returned non-JSON: {body[:300]}")
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out = {
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"query": query,
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"answer": obj.get("answer"),
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"results": [],
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}
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for r in (obj.get("results") or [])[:max_results]:
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out["results"].append(
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{
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"title": r.get("title"),
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"url": r.get("url"),
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"content": r.get("content"),
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}
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)
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if not include_answer:
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out.pop("answer", None)
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return out
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def to_brave_like(obj: dict) -> dict:
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# A lightweight, stable shape similar to web_search: results with title/url/snippet.
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results = []
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for r in obj.get("results", []) or []:
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results.append(
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{
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"title": r.get("title"),
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"url": r.get("url"),
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"snippet": r.get("content"),
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}
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)
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out = {"query": obj.get("query"), "results": results}
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if "answer" in obj:
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out["answer"] = obj.get("answer")
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return out
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def to_markdown(obj: dict) -> str:
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lines = []
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if obj.get("answer"):
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lines.append(obj["answer"].strip())
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lines.append("")
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for i, r in enumerate(obj.get("results", []) or [], 1):
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title = (r.get("title") or "").strip() or r.get("url") or "(no title)"
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url = r.get("url") or ""
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snippet = (r.get("content") or "").strip()
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lines.append(f"{i}. {title}")
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if url:
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lines.append(f" {url}")
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if snippet:
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lines.append(f" - {snippet}")
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return "\n".join(lines).strip() + "\n"
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--query", required=True)
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ap.add_argument("--max-results", type=int, default=5)
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ap.add_argument("--include-answer", action="store_true")
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ap.add_argument(
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"--search-depth",
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default="basic",
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choices=["basic", "advanced"],
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help="Tavily search depth",
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)
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ap.add_argument(
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"--format",
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default="raw",
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choices=["raw", "brave", "md"],
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help="Output format: raw (default) | brave (title/url/snippet) | md (human-readable)",
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)
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args = ap.parse_args()
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res = tavily_search(
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query=args.query,
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max_results=max(1, min(args.max_results, 10)),
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include_answer=args.include_answer,
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search_depth=args.search_depth,
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)
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if args.format == "md":
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sys.stdout.write(to_markdown(res))
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return
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if args.format == "brave":
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res = to_brave_like(res)
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json.dump(res, sys.stdout, ensure_ascii=False)
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sys.stdout.write("\n")
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if __name__ == "__main__":
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main()
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