Agent skill

Exchange Connector

by Signal-Execution-Labs in Signal-Execution-Labs/forex-trading-ai-agent

Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.).

MITAuto-check passedBusiness, Finance & HR

Install Exchange Connector

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/exchange-connector .claude/skills/exchange-connector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .claude/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/exchange-connector .agents/skills/exchange-connector && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .agents/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/exchange-connector .cursor/skills/exchange-connector && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .cursor/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git --path skills/exchange-connector

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/exchange-connector .gemini/skills/exchange-connector && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .gemini/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/exchange-connector .github/skills/exchange-connector && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .github/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent exchange-connector --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/exchange-connector .opencode/skills/exchange-connector && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "exchange-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/exchange-connector into .opencode/skills/exchange-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "exchange-connector", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: exchange-connector
GitHub stars: 162
Token cost: ~1k tokens
SKILL.md length: 211 words
Files: 2 (incl. scripts)
Skills in repo: 11
Repo updated: Sep 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.).

Works in 4 steps: Get API keys from exchange (enable… → Add to ~/.kit/exchanges.json → Test connection with balance query → …
Tasks that involve Stock and market analysis
SKILL.md covers Overview, Supported Exchanges, Configuration and Commands, plus 2 more sections
Runs Python scripts from its folder; calls python3

What it does

Exchange Connector is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.). Execute orders, manage API keys, stream market data.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/exchange_cli.py`).

It sits in Business, Finance & HR, covering Stock and market analysis. It works with Binance and Coinbase. The repository describes itself as: About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading…. The licence is MIT.

When your agent uses it

Tasks that involve Stock and market analysis

Example prompts

“/exchange-connector”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Get API keys from exchange (enable trading permissions)
Add to ~/.kit/exchanges.json
Test connection with balance query
Verify with small test order

What it can do on your machine

Read from SKILL.md and the folder at commit b8a6047. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exchange Connector loads about 1k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 211 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~34
When it runs · the whole SKILL.md, loaded when a task matches: ~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Signal-Execution-Labs/forex-trading-ai-agent at commit b8a6047, republished under its MIT licence (© Signal-Execution-Labs). 211 words, ~1,037 tokens.

Download SKILL.mdSave it as .claude/skills/exchange-connector/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: exchange-connector
description: Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.). Execute orders, manage API keys, stream market data.

Exchange Connector

Connect K.I.T. to cryptocurrency exchanges for trading and market data.

Overview

This skill provides unified access to 100+ crypto exchanges via the CCXT library:

API Key Management - Secure storage and rotation
Order Execution - Market, limit, stop-loss orders
Market Data - Real-time prices, orderbook, trades
Balance Queries - Portfolio across exchanges

Supported Exchanges

Exchange	ID	Features
Binance	`binance`	Spot, Futures, Margin
Kraken	`kraken`	Spot, Futures
Coinbase	`coinbase`	Spot
KuCoin	`kucoin`	Spot, Futures
Bybit	`bybit`	Derivatives
OKX	`okx`	Full suite

Configuration

API keys are stored in ~/.kit/exchanges.json:

json

{
  "binance": {
    "apiKey": "your-api-key",
    "secret": "your-secret",
    "sandbox": false
  },
  "kraken": {
    "apiKey": "your-api-key",
    "secret": "your-secret"
  }
}

⚠️ Security: Never commit API keys! Use environment variables or encrypted storage.

Commands

Check Connection

bash

python3 -c "
import ccxt
exchange = ccxt.binance({'apiKey': 'KEY', 'secret': 'SECRET'})
print(exchange.fetch_balance())
"

Get Current Price

bash

python3 -c "
import ccxt
exchange = ccxt.binance()
ticker = exchange.fetch_ticker('BTC/USDT')
print(f\"BTC/USDT: {ticker['last']}\")
"

Place Market Order

bash

python3 -c "
import ccxt
exchange = ccxt.binance({'apiKey': 'KEY', 'secret': 'SECRET'})
order = exchange.create_market_buy_order('BTC/USDT', 0.001)
print(order)
"

Place Limit Order

bash

python3 -c "
import ccxt
exchange = ccxt.binance({'apiKey': 'KEY', 'secret': 'SECRET'})
order = exchange.create_limit_buy_order('BTC/USDT', 0.001, 40000)
print(order)
"

Get Open Orders

bash

python3 -c "
import ccxt
exchange = ccxt.binance({'apiKey': 'KEY', 'secret': 'SECRET'})
orders = exchange.fetch_open_orders('BTC/USDT')
for o in orders:
    print(f\"{o['side']} {o['amount']} @ {o['price']}\")
"

Cancel Order

bash

python3 -c "
import ccxt
exchange = ccxt.binance({'apiKey': 'KEY', 'secret': 'SECRET'})
result = exchange.cancel_order('ORDER_ID', 'BTC/USDT')
print(result)
"

Get OHLCV Data

bash

python3 -c "
import ccxt
exchange = ccxt.binance()
ohlcv = exchange.fetch_ohlcv('BTC/USDT', '1h', limit=24)
for candle in ohlcv:
    print(f\"O:{candle[1]} H:{candle[2]} L:{candle[3]} C:{candle[4]}\")
"

Stream Orderbook (WebSocket)

bash

python3 -c "
import ccxt.pro as ccxtpro
import asyncio

async def watch():
    exchange = ccxtpro.binance()
    while True:
        ob = await exchange.watch_order_book('BTC/USDT')
        print(f\"Best bid: {ob['bids'][0][0]}, Best ask: {ob['asks'][0][0]}\")
        
asyncio.run(watch())
"

Workflow

Adding a New Exchange

Get API keys from exchange (enable trading permissions)
Add to ~/.kit/exchanges.json
Test connection with balance query
Verify with small test order

Order Types

Type	Use Case
`market`	Immediate execution at best price
`limit`	Execute at specific price or better
`stop_loss`	Sell when price drops to level
`take_profit`	Sell when price reaches target
`stop_limit`	Stop-loss with limit price

Error Handling

Common errors:

AuthenticationError - Invalid API keys
InsufficientFunds - Not enough balance
InvalidOrder - Bad order parameters
RateLimitExceeded - Too many requests

Scripts

Use scripts/exchange_cli.py for quick operations:

bash

python3 scripts/exchange_cli.py --exchange binance --action balance
python3 scripts/exchange_cli.py --exchange binance --action price BTC/USDT
python3 scripts/exchange_cli.py --exchange binance --action buy BTC/USDT 0.001

Files

SKILL.md and 1 other file (scripts) in skills/exchange-connector of Signal-Execution-Labs/forex-trading-ai-agent.

SKILL.md
scripts/exchange_cli.py

Open the folder on GitHubat commit b8a6047

Compare with similar skills

Exchange Connector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Exchange Connector compared with similar skills
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Fintoolsecond-state/fintool	316	—	~5.9k	Automated safety check: Pass	None	4 mo ago
Query Token Infobinance/binance-skills-hub	1.1k	—	~922	Automated safety check: Pass	None	1 mo ago
Hyperliquid Readerhimself65/finance-skills	3.4k	—	~2.3k	Automated safety check: Pass	MIT	6 days ago
Crypto Reportaahl/skills	162	1 repos	~122	Automated safety check: Pass	MIT	26 days ago

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Questions about Exchange Connector

What does Exchange Connector do?

Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.). Exchange Connector is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent.).

When should I use Exchange Connector?

Exchange Connector fits situations like: tasks that involve Stock and market analysis.

How do I install Exchange Connector in Claude Code?

Run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a claude-code`. Or copy the skill folder (skills/exchange-connector in Signal-Execution-Labs/forex-trading-ai-agent) into .claude/skills/exchange-connector in your project. Claude Code loads it when a task matches its description.

How do I install Exchange Connector in Codex?

Run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a codex`. Or copy the skill folder (skills/exchange-connector in Signal-Execution-Labs/forex-trading-ai-agent) into .agents/skills/exchange-connector in your project. Codex loads it when a task matches its description.

Can I use Exchange Connector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill exchange-connector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exchange-connector, .gemini/skills/exchange-connector, .github/skills/exchange-connector and .opencode/skills/exchange-connector in your project.

What does Exchange Connector need to run?

Going by SKILL.md and its folder, Exchange Connector needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Exchange Connector access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exchange Connector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Exchange Connector use?

Exchange Connector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Exchange Connector use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exchange Connector?

Skills that share tags, products or a category with Exchange Connector: Onchain (sundial-org/awesome-openclaw-skills, 663 stars), Fintool (second-state/fintool, 316 stars), Query Token Info (binance/binance-skills-hub, 1.1k stars) and Hyperliquid Reader (himself65/finance-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exchange Connector?

Signal-Execution-Labs (a GitHub organization) maintains it in Signal-Execution-Labs/forex-trading-ai-agent, which has 162 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 14, 2026.

Source: Signal-Execution-Labs/forex-trading-ai-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Exchange Connector

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Exchange Connector

Overview

Supported Exchanges

Configuration

Commands

Check Connection

Get Current Price

Place Market Order

Place Limit Order

Get Open Orders

Cancel Order

Get OHLCV Data

Stream Orderbook (WebSocket)

Workflow

Adding a New Exchange

Order Types

Error Handling

Scripts

Files

Compare with similar skills

Similar skills

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Related

Questions about Exchange Connector