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 minute-analysisgit 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/minute-analysis)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/minute-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/minute-analysis/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/minute-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/minute-analysis.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 | $0.00040 | $0.01008 |
| Opus 5 | $0.00020 | $0.00504 |
| Sonnet 5 | $0.00008 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
minute-analysis 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 11d 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:
- minute-analysis — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minute-Level Data Analysis and Backtesting
Purpose
Retrieve minute-level candlestick data through data-source APIs and calculate intraday indicators (VWAP, TWAP, volume distribution, and more).
Supports minute-level backtesting: set "interval": "5m" in config.json and use the backtest tool to run intraday strategies.
Backtest Configuration
For minute-level backtests, simply add the interval field in config.json:
{
"source": "okx",
"codes": ["BTC-USDT"],
"start_date": "2026-03-01",
"end_date": "2026-03-15",
"interval": "5m",
"initial_cash": 1000000,
"commission": 0.0005
}
- The annualization factor is inferred automatically from
source + interval(OKX 5m = 365 x 288 = 105120) - Minute-level datasets are large. Recommended time limits: no more than 7 days for
1m, no more than 30 days for5m, and no more than 1 year for1H
Supported Data Sources and Intervals
| Data Source | Supported Intervals | Notes |
|---|---|---|
| OKX | 1m/5m/15m/30m/1H/4H | Cryptocurrency, trades 7x24 |
| Tushare | 1m/5m/15m/30m/1H | China A-shares, requires score >= 2000 |
| yfinance | 1m/5m/15m/30m/1H | Hong Kong / US equities (free, no key required) |
OKX Minute Candlestick API
import requests
import pandas as pd
resp = requests.get("https://www.okx.com/api/v5/market/candles", params={
"instId": "BTC-USDT",
"bar": "1m", # 1m/5m/15m/30m/1H/4H
"limit": "300", # At most 300 rows per request
})
data = resp.json()["data"]
columns = ["ts", "open", "high", "low", "close", "vol", "volCcy", "volCcyQuote", "confirm"]
df = pd.DataFrame(reversed(data), columns=columns)
df["ts"] = pd.to_datetime(df["ts"].astype("int64"), unit="ms")
for col in ["open", "high", "low", "close", "vol"]:
df[col] = df[col].astype(float)
Indicator Calculation Templates
VWAP (Volume-Weighted Average Price)
typical_price = (df["high"] + df["low"] + df["close"]) / 3
df["vwap"] = (typical_price * df["vol"]).cumsum() / df["vol"].cumsum()
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 102 lines · 40 tokens per session scan A 07738c13d374
minute-analysis is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 1,008 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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