okx-market

okx-market is a skill for Claude Code, Codex from HKUDS/Vibe-Trading. It costs 59 tokens per session (1,325 once invoked), scanned A, original, MIT.

An interface for retrieving public cryptocurrency market data from OKX, a cryptocurrency exchange. It covers spot markets, futures, perpetual contracts, options, indexes, prices, candles, funding rates, and open interest.

In plain words
What is it for?
Use it to fetch current quotes, historical candlesticks, and other market statistics for cryptocurrency analysis and trading research.
Why use it?
It provides market data without an account, API key, or token configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to fetch current quotes, historical candlesticks, and other market statistics for cryptocurrency analysis and trading research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/vibe-trading/okx-market
About the project

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.

HKUDS/Vibe-Trading · 33,258 stars · on GitHub · vibetrading.wiki

Install

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.

Any agent
npx skills add HKUDS/Vibe-Trading --skill okx-market
Clone the repo
git clone --depth 1 https://github.com/HKUDS/Vibe-Trading

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for okx-market

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/vibe-trading/okx-market/github.svg)](https://agentmods.dev/skills/hkuds/vibe-trading/okx-market)
Your own site
<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.

agentmods 80×15 button for okx-market

Your own site · 80×15
<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>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,325 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash f9b9472b6b37, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/candle_data_example.py, scripts/market_data_example.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agent/src/skills/okx-market/SKILL.md · 73 lines

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 requests dependency.
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 in YYMMDD)
    • Options: BTC-USD-250328-95000-C (expiry-strike-C/P)
    • Index: BTC-USD, ETH-USD
  • 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=0 indicates success, and data is returned in the data field

Link convention: every link to references/ in this document is written relative to this document (for example references/...) — the form GitHub resolves when someone opens the file in a browser. The read_file tool 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.

Read the full file on GitHub · 73 lines

Changes

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.

  1. 8d ago Changed f9b9472b6b37
  2. 12d ago First seen · 73 lines · 59 tokens per session scan A c6935fcde979

Subscribe to this mod's changes

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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