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 okx-marketgit 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/okx-market)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/okx-market"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/okx-market/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/okx-market"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/okx-market.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 | $0.00059 | $0.01325 |
| Opus 5 | $0.00030 | $0.00662 |
| Sonnet 5 | $0.00012 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
okx-market 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 8d 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:
- okx-market — 100% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKX Market
Overview
The OKX V5 REST API provides comprehensive cryptocurrency market data covering spot, perpetual swaps, delivery futures, options, and more. All market-data endpoints are public and can be called directly without authentication. The data comes from OKX, the world's second-largest cryptocurrency exchange.
Quick Start
- Install a Python runtime (Python 3.9+ recommended) and the required
requestsdependency.
pip install requests pandas
- No account registration or token configuration is required. Market-data endpoints are fully open.
- Review the endpoint documentation below and locate the interface you need.
- Use Python code to retrieve data according to the documentation. Example for the spot ticker endpoint:
import requests
import pandas as pd
BASE_URL = "https://www.okx.com/api/v5"
# Get the latest BTC-USDT market quote
resp = requests.get(f"{BASE_URL}/market/ticker", params={"instId": "BTC-USDT"})
data = resp.json()["data"][0]
print(f"BTC last price: {data['last']} 24h change: {float(data['last'])/float(data['open24h'])*100-100:.2f}%")
Parameter Format Reference
- Instrument format (
instId):- Spot:
BTC-USDT,ETH-USDT - Perpetual swap:
BTC-USDT-SWAP,ETH-USDT-SWAP - Delivery futures:
BTC-USDT-250328(expiry date inYYMMDD) - Options:
BTC-USD-250328-95000-C(expiry-strike-C/P) - Index:
BTC-USD,ETH-USD
- Spot:
- Candlestick interval (
bar):1m,3m,5m,15m,30m,1H,2H,4H,6H,12H,1D,1W,1M - Instrument type (
instType):SPOT(spot),SWAP(perpetual),FUTURES(delivery),OPTION(option) - Timestamp: millisecond Unix timestamp (for example
1773763200000) - Response format: JSON.
code=0indicates success, and data is returned in thedatafield
Link convention: every link to
references/in this document is written relative to this document (for examplereferences/...) — the form GitHub resolves when someone opens the file in a browser. Theread_filetool resolves the same string against the skill that owns it, so the agent and a human reader reach one file. When adding new skill docs, always use the relative form, and keep reference paths unique across skills: a path two skills both carry is reported as ambiguous rather than guessed.
What ships with it
15 files 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.
- references/合约行情/历史资金费率.md 1.4 KB
- references/合约行情/持仓量.md 1.1 KB
- references/合约行情/标记价格.md 1.1 KB
- references/合约行情/资金费率.md 1.6 KB
- references/合约行情/限价.md 889 B
- references/指数行情/指数K线.md 1.4 KB
- references/指数行情/指数行情.md 1.3 KB
- references/现货行情/K线数据.md 2.3 KB
- references/现货行情/交易产品列表.md 1.7 KB
- references/现货行情/最近成交.md 954 B
- references/现货行情/单个行情.md 2.0 KB
- references/现货行情/批量行情.md 1.3 KB
- references/现货行情/深度数据.md 1.1 KB
- scripts/candle_data_example.py 3.3 KB runs code
- scripts/market_data_example.py 3.3 KB runs code
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.
- 8d ago Changed f9b9472b6b37
- 12d ago First seen · 73 lines · 59 tokens per session scan A c6935fcde979
okx-market is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,258 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,325 once invoked, about $0.0003 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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