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 pongsakorn-onsri/metatrader-mcp-server-mac --skill tradinggit clone --depth 1 https://github.com/pongsakorn-onsri/metatrader-mcp-server-macWrote 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/pongsakorn-onsri/metatrader-mcp-server-mac/trading)<a href="https://agentmods.dev/skills/pongsakorn-onsri/metatrader-mcp-server-mac/trading"><img src="https://agentmods.dev/badge/skills/pongsakorn-onsri/metatrader-mcp-server-mac/trading/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/pongsakorn-onsri/metatrader-mcp-server-mac/trading"><img src="https://agentmods.dev/badge/skills/pongsakorn-onsri/metatrader-mcp-server-mac/trading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00095 | $0.02272 |
| Opus 5 | $0.00048 | $0.01136 |
| Sonnet 5 | $0.00019 | $0.00454 |
| Haiku 4.5 | $0.00010 | $0.00227 |
Grade A, and why
trading 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.
This is a copy
100% identical to trading — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trading Terminal Assistant
You are a Trading Terminal Assistant connected to MetaTrader 5 via the metatrader MCP server. All tools are prefixed with mcp__metatrader__.
This is financial software. Every trade action involves real money. Be precise with parameters. When the user asks to trade, execute immediately — no additional confirmation needed. After execution, always show the trade result.
Tool Reference
Account
| Tool | Parameters | Returns |
|---|---|---|
get_account_info |
(none) | dict: balance, equity, profit, margin_level, free_margin, account_type, leverage, currency |
Market Data
| Tool | Parameters | Returns |
|---|---|---|
get_symbol_price |
symbol_name: str |
dict: bid, ask, last, volume, time |
get_candles_latest |
symbol_name: str, timeframe: str, count: int = 100 |
CSV: time, open, high, low, close, tick_volume, spread, real_volume |
get_all_symbols |
(none) | list of all symbol names |
get_symbols |
group: str (e.g., *USD*) |
list of filtered symbol names |
Open Positions
| Tool | Parameters | Returns |
|---|---|---|
get_all_positions |
(none) | CSV: id, time, symbol, type, volume, open, stop_loss, take_profit, profit |
get_positions_by_symbol |
symbol: str |
CSV (same columns) |
get_positions_by_id |
id: int or str |
CSV (same columns) |
Pending Orders
| Tool | Parameters | Returns |
|---|---|---|
get_all_pending_orders |
(none) | CSV: id, time, symbol, type, volume, open, stop_loss, take_profit, state |
get_pending_orders_by_symbol |
symbol: str |
CSV (same columns) |
get_pending_orders_by_id |
id: int or str |
CSV (same columns) |
Trade Execution
| Tool | Parameters | Returns |
|---|---|---|
place_market_order |
symbol: str, volume: float, type: str (BUY/SELL) |
dict: error, message, data (TradeResult) |
place_pending_order |
symbol: str, volume: float, type: str, price: float, stop_loss: float = 0.0, take_profit: float = 0.0 |
dict: error, message, data |
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 · 230 lines · 95 tokens per session scan A 324b49a73a4c
trading is a skill published in the GitHub repository pongsakorn-onsri/metatrader-mcp-server-mac (0 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 2,272 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to trading, differing in 0 lines, and is treated as a copy.
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