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💰

alphaear-search Checked

Name: alphaear-search
Author: RKiding

Perform finance web searches and local context searches. Use when the user needs general finance …

💰 Finance & Trading skills By RKiding Version v1.0.0 Added 2026-09-20 Updated 2026-09-20 Source ↗

7.2Overall rating

2Views

5Downloads

3.0kStars

Installation

🤖 Install via AI

Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.

Install the "alphaear-search" skill by following the instructions at https://skill123.me/install/alphaear-search.

⌨️ Command line install

Run in your terminal — downloads and installs to ~/.claude/skills/.

curl -fsSL https://skill123.me/install/alphaear-search.sh | bash

📦 Download ZIP

Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.

⬇ Download v1.0.0 · 23 KB

📊 Static rating

7.2/10

Trigger

5.5

Structure

8.0

Workflow

6.8

Content

7.0

Engineering

7.0

Security

9.0

Six-dimension rubric with reviewer rationale.

View scorecard ↓

🛡 Dynamic test

—

Not live-tested yet — this skill is rated on static analysis only.

About this skill

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

Documentation

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).
**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_news database.

Dependencies

duckduckgo-search, requests
scripts/database_manager.py (search cache & local news)

Score breakdown

Trigger

5.5

What + explicit When clause naming the engines (Jina/DDG/Baidu) and local RAG; no When-Not; no trigger variants; English-only description.

Structure

8.0

Small SKILL.md with one prompt reference; scripts/ again bundles shared database_manager plus out-of-scope sentiment_tools and llm/ factory; no progressive disclosure beyond PROMPTS.md.

Workflow

6.8

Tool wrapper with engine abstraction, aggregate search, TTL search cache plus an agentic cache-relevance prompt (good design); thread-safe rate limiting and 429 backoff for Jina; undermined by the logger NameError bug on the main search path; shallow init-only tests.

Content

7.0

Concise capability docs; API-level usage only, no runnable example command; mixed Chinese/English.

Engineering

7.0

Valid frontmatter; declared deps miss agno/loguru/jieba; search_tools.py references logger without importing loguru (runtime NameError); referenced paths exist.

Security

9.0

Manifest: web search GETs to s.jina.ai, r.jina.ai, DuckDuckGo and Baidu (via agno tools) — all declared in the description; env reads JINA_API_KEY/SEARCH_CACHE_TTL; writes local sqlite search cache/news store; bundled llm/ factory (DashScope/z.ai) is dead code not reachable from documented entry points. Capabilities match declared scope. No injection, no hardcoded secrets, no persistence.

Unified web search (Jina/DDG/Baidu) + local RAG with smart cache-relevance prompt. Network destinations are declared in the description (rare among this family). Real bug: scripts/search_tools.py uses logger throughout but never imports loguru — NameError on the search path. Bundles unused sentiment_tools and llm/ factory beyond skill scope; deps under-declared (agno, loguru, jieba).

Assessment methodology

🧪

AI-assessed

Evaluated by automated analysis across quality, usability, and security dimensions. This is not a substitute for your own review — always inspect a skill before installing it.

Version history

v1.0.0 2026-09-20

23 KB

Imported from RKiding/Awesome-finance-skills@main

alphaear-search Checked

Installation

About this skill

AlphaEar Search Skill

Documentation

AlphaEar Search Skill

Overview

Capabilities

Dependencies

Score breakdown

Assessment methodology

Version history

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