Alphaear StockSAFE
A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills
Overview
A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills
3776b9e63e03OBSERVED · 2026-10-28What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: alphaear-stock
description: Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
---
# AlphaEar Stock Skill
## Overview
Search A-Share/HK/US stock tickers and retrieve historical price data (OHLCV).
## Capabilities
### 1. Stock Search & Data
Use `scripts/stock_tools.py` via `StockTools`.
- **Search**: `search_ticker(query)`
- Fuzzy search by code or name (e.g., "Moutai", "600519").
- Returns: List of `{code, name}`.
- **Get Price**: `get_stock_price(ticker, start_date, end_date)`
- Returns DataFrame with OHLCV data.
- Dates format: "YYYY-MM-DD".
- **Get Fundamentals**: `get_stock_fundamentals(ticker)`
- Returns dict with sector, industry, market cap, PE ratio, and summary.
- Supports A-Share/HK/US stocks.
## Dependencies
- `pandas`, `requests`, `akshare`, `yfinance`
- `scripts/database_manager.py` (stock tables)
## Notes
- **Proxy**: For US stock data (via `yfinance`), you may need to set environment variables if your network cannot reach Yahoo Finance directly:
```bash
export HTTP_PROXY="http://<proxy_ip>:<port>"
export HTTPS_PROXY="http://<proxy_ip>:<port>"
```
- **A-Share/HK**: Data is primarily fetched via `akshare` (EastMoney), which usually works best with a direct connection in China. The tool automatically detects proxy issues and attempts direct connection for these markets.Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
3776b9e63e03full audit observations/trust-audit/skill/rkiding__alphaear-stock.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-28 | 3776b9e63e03 | SAFE | B | 89 | first audit |
Questions
What does the alphaear-stock — rkiding/awesome-finance-skills skill do?
A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills
Is alphaear-stock — rkiding/awesome-finance-skills safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can alphaear-stock — rkiding/awesome-finance-skills access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (3776b9e63e03), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/rkiding/alphaear-stock/)
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