Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add HKUDS/Vibe-Trading --skill aksharegit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hkuds/vibe-trading/akshare)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/akshare"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/akshare/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/akshare"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/akshare.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.00845 |
| Opus 5 | $0.00022 | $0.00423 |
| Sonnet 5 | $0.00009 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
akshare scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- akshare — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
AKShare is a completely free, open-source Python financial data library. No registration or API key required. It aggregates data from public sources (Sina, East Money, etc.) covering Chinese and global markets.
- GitHub: https://github.com/akfamily/akshare (18k+ stars)
- Install:
pip install akshare
Quick Start
import akshare as ak
# A-share daily OHLCV (前复权)
df = ak.stock_zh_a_hist(symbol="000001", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
# US stock daily
df = ak.stock_us_hist(symbol="105.AAPL", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
# HK stock daily
df = ak.stock_hk_hist(symbol="00700", period="daily",
start_date="20240101", end_date="20260101", adjust="qfq")
Top 10 High-Frequency Interfaces
A-shares
| Function | Description | Key Params |
|---|---|---|
stock_zh_a_hist() |
A-share OHLCV | symbol, period, start_date, end_date, adjust |
stock_zh_a_spot_em() |
Real-time A-share quotes | (none) |
stock_individual_info_em() |
Stock basic info | symbol |
stock_zh_a_hist_min_em() |
Intraday bars | symbol, period(1/5/15/30/60) |
US / HK
| Function | Description | Key Params |
|---|---|---|
stock_us_hist() |
US stock OHLCV | symbol (e.g. "105.AAPL"), period, start_date, end_date |
stock_hk_hist() |
HK stock OHLCV | symbol (e.g. "00700"), period, start_date, end_date |
Macro / Forex / Futures
| Function | Description |
|---|---|
macro_china_gdp() |
China GDP data |
macro_china_cpi() |
China CPI data |
futures_main_sina() |
Futures main contract quotes |
currency_boc_sina() |
BOC forex rates |
Column Names
AKShare returns Chinese column names by default:
| Chinese | English | Description |
|---|---|---|
| 日期 | date | Trade date |
| 开盘 | open | Open price |
| 最高 | high | High price |
| 最低 | low | Low price |
| 收盘 | close | Close price |
| 成交量 | volume | Volume |
| 成交额 | amount | Turnover |
| 涨跌幅 | pct_change | % change |
| 换手率 | turnover_rate | Turnover rate |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 93 lines · 44 tokens per session scan A ab7ebe23f597
akshare is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,085 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 845 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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