Overview
- Skill Key
- doahc/tavily-web
- Author
- doahc
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/doahc/tavily-web
- Latest Commit SHA
- aad549d11cf3bd4b5034e03755155e8aea67b2bb
Web search and content extraction using Tavily Search/Extract/Research APIs (Bearer auth). Use when you need web results (general/news/finance), date/topic/domain filtering, source citations, or want Tavily instead of built-in web_search/Firecrawl. Requires TAVILY_API_KEY.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 tavily 技能。 若已安装,则直接安装 tavily 技能。
# Tavily (Web Search / Extract / Research) ## Prereqs - Ensure `TAVILY_API_KEY` is set in the Hermes environment (commonly `~/.hermes/.env`). - Do not hardcode or paste API keys into chat logs. See `references/bp-api-key-management.md`. ## Security Notes - The bundled CLI (`scripts/tavily.py`) reads only `TAVILY_API_KEY` from the environment and only sends requests to `https://api.tavily.com`. - Prefer `search` then `extract` over `include_raw_content` on `search` to keep outputs small and reduce accidental data exposure. ## Quick Reference Use the terminal tool to run the bundled CLI script (prints JSON). `SKILL_DIR` is the directory containing this `SKILL.md` file. ```bash # Search (general) python3 SKILL_DIR/scripts/tavily.py search --query "latest OpenAI API changes" --max-results 5 # Search (news) with recency filter python3 SKILL_DIR/scripts/tavily.py search --query "latest OpenAI API changes" --topic news --time-range week --max-results 5 # High-precision search (more cost/latency) python3 SKILL_DIR/scripts/tavily.py search --query "OpenAI API rate limits March 2026" --search-depth advanced --chunks-per-source 3 --max-results 5 # Search + answer (still cite URLs from results) python3 SKILL_DIR/scripts/tavily.py search --query "What is X?" --include-answer basic --max-results 5 # Extract (targeted chunks; prefer this over include_raw_content on search) python3 SKILL_DIR/scripts/tavily.py extract --url "https://example.com" --query "pricing" --chunks-per-source 3 --format markdown # Research (creates task + polls until complete) python3 SKILL_DIR/scripts/tavily.py research --input "Summarize the EU AI Act enforcement timeline. Provide numbered citations." --model auto --citation-format numbered --max-wait-seconds 180 ``` Use returned `results[].url` fields as citations/sources in your final answer. ## No-Script Option (curl) Use Tavily directly via curl (same endpoints, no bundled script): ```bash curl -s "https://api.tavily.com/search" \ -H "...
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