技能详情（站内镜像，无评论）
作者：迩康 @DarryEK
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 210 · 1 current installs · 1 all-time installs
⭐ 0
安装量（当前） 1
🛡 VirusTotal ：可疑 · OpenClaw ：可疑
Package：darryek/tavily-search-darry
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：可疑
OpenClaw 评估
The skill generally matches a Tavily search integration, but there are several implementation inconsistencies and runtime behaviors (runtime npm fetch, token-cache reading, undeclared binary dependencies) that warrant caution before installing.
目的
Name/description match the implemented behavior: scripts call Tavily MCP endpoints (https://mcp.tavily.com) for search/crawl/extract/research and can save crawl output to local files. However, the skill metadata only declares 'bash' as a required binary while the scripts also rely on curl, jq, base64, date, and npx at runtime—these are not declared. The scripts also attempt to discover an OAuth token from a local cache (~/.mcp-auth), which is …
说明范围
Runtime instructions and included scripts will: (a) read files under $HOME/.mcp-auth searching for '*_tokens.json', (b) run npx -y mcp-remote to initiate an OAuth browser flow (downloads and executes code from npm at runtime), (c) make outbound HTTPS requests to mcp.tavily.com, and (d) write crawled pages to any output directory you pass. Reading the local MCP auth cache is scope-relevant for OAuth but may be surprising because it inspects use…
安装机制
There is no formal install spec, but the scripts call npx -y mcp-remote at runtime. npx will fetch and execute a package from the public npm registry on demand (transient download/execute). That is a moderate-to-high install-time risk compared with an instruction-only script that does not fetch code. The rest of the skill files are local shell scripts (no packaged third-party install), so the primary runtime risk is dynamic npx execution.
证书
The skill does not declare any required environment variables in registry metadata, but the scripts use TAVILY_API_KEY if present and will attempt to obtain an OAuth token from ~/.mcp-auth if not. Requesting/using a Tavily API token is proportional to the skill's purpose. Two small issues: (1) TAVILY_API_KEY is optional but not documented in the metadata 'requires.env' (user-facing docs in SKILL.md do mention it), and (2) the script reads ~/.m…
持久
The skill is not always: true and does not request persistent elevated platform privileges. It writes crawl output only to an explicit output directory you pass, and it does not modify other skills or global agent settings. Runtime npx execution is transient and not a declared persistent install.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Tavily Search」。简介：Tavily 搜索 API 集成 | Tavily Search API Integration. 高质量网络搜索、新闻聚合、信息调研 | High-qual…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/darryek/tavily-search-darry/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: tavily-search-darry
description: "Tavily 搜索 API 集成 | Tavily Search API Integration. 高质量网络搜索、新闻聚合、信息调研 | High-quality web search, news aggregation, research. 触发词：搜索、search、tavily、新闻."
metadata:
openclaw:
emoji: "🔍"
category: "search"
tags: ["search", "tavily", "web-search", "news", "research"]
requires:
bins: ["bash"]
---
# Tavily Search
Tavily 是一个专业的搜索 API，提供高质量、快速、结构化的搜索结果。
## 功能
### 网络搜索
- **智能搜索** - LLM 优化的搜索结果
- **内容提取** - 自动提取网页内容摘要
- **相关性评分** - 每个结果带有相关性分数
### 新闻搜索
- **时间过滤** - 按天、周、月、年过滤
- **域名过滤** - 指定搜索特定网站
- **深度搜索** - basic/advanced 搜索模式
### 研究工具
- **crawl** - 网页爬取
- **extract** - 内容提取
- **research** - 深度研究
## 使用方式
### 基本搜索
```bash
./search/scripts/search.sh '{"query": "AI 最新进展", "max_results": 10}'
```
### 新闻搜索
```bash
./search/scripts/search.sh '{"query": "科技新闻", "time_range": "week", "max_results": 10}'
```
### 域名过滤
```bash
./search/scripts/search.sh '{"query": "机器学习", "include_domains": ["arxiv.org", "github.com"]}'
```
## 子技能
- `search` - 网络搜索
- `crawl` - 网页爬取
- `extract` - 内容提取
- `research` - 深度研究
## 认证
使用 Tavily API Key 或 OAuth 认证。
获取 API Key: https://tavily.com
---
*Tavily Search, 智能搜索* 🔍