Agent Skills
› ninehills/skills
› alphaear-search
alphaear-search
GitHub提供金融领域的统一搜索能力，支持通过Jina/DDG/Baidu进行网络搜索及基于本地文档库的RAG检索，具备智能缓存与多引擎聚合功能。
Trigger Scenarios
用户需要查询金融新闻或市场动态
用户需要从本地知识库检索特定金融信息
Install
npx skills add ninehills/skills --skill alphaear-search -g -y
SKILL.md
Frontmatter
{
"name": "alphaear-search",
"description": "Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina\/DDG\/Baidu) or needs to retrieve finance information from a local document store (RAG)."
}
AlphaEar Search Skill
Overview
Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search.
Capabilities
1. Web Search
Use scripts/search_tools.py via SearchTools.
- Search:
search(query, engine, max_results)- Engines:
jina,ddg,baidu,local. - Returns: JSON string (summary) or List[Dict] (via
search_list).
- Engines:
- Smart Cache (Agentic): If you want to avoid redundant searches, use the Search Cache Relevance Prompt in
references/PROMPTS.md. Read the cache first and decide if it's usable. - Aggregate:
aggregate_search(query)- Combines results from multiple engines.
2. Local RAG
Use scripts/hybrid_search.py or SearchTools with engine='local'.
- Search: Searches local
daily_newsdatabase.
Dependencies
duckduckgo-search,requestsscripts/database_manager.py(search cache & local news)
Version History
- f3e82a7 Current 2026-07-25 11:11
