python-workspace
Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.
How do I install this agent skill?
npx skills add https://github.com/terrylica/cc-skills --skill python-workspaceIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a comprehensive workspace and set of instructions for migrating MetaTrader 5 (MQL5) indicators to Python. It utilizes standard financial industry tools such as Wine/CrossOver and the MetaTrader5 Python API. No malicious behavior, data exfiltration, or obfuscation was detected.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
5/6 files flagged
What does this agent skill do?
MQL5-Python Translation Workspace Skill
Seamless MQL5 indicator translation to Python with autonomous validation and self-correction.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when the user wants to:
- Export market data or indicator values from MetaTrader 5
- Translate MQL5 indicators to Python implementations
- Validate Python indicator accuracy against MQL5 reference
- Understand MQL5-Python workflow capabilities and limitations
- Troubleshoot common translation issues
Activation Phrases: "MQL5", "MetaTrader", "indicator translation", "Python validation", "export data", "mql5-crossover workspace"
Core Mission
Main Theme: Make MQL5-Python translation as seamless as possible through:
- Autonomous workflows (headless export, CLI compilation, automated validation)
- Validation-driven iteration (>=0.999 correlation gates all work)
- Self-correction (documented failures prevent future mistakes)
- Clear boundaries (what works vs what doesn't, with alternatives)
Project Root: ~/Library/Application Support/CrossOver/Bottles/MetaTrader 5/drive_c
Workspace Capabilities Matrix
WHAT THIS WORKSPACE CAN DO
1. Automated Headless Market Data Export (v3.0.0)
Status: PRODUCTION (0.999920 correlation validated)
What It Does:
- Fetches OHLCV data + built-in indicators (RSI, SMA) from any symbol/timeframe
- True headless via Wine Python + MetaTrader5 API
- No GUI initialization required (cold start supported)
- Execution time: 6-8 seconds for 5000 bars
Command Example:
CX_BOTTLE="MetaTrader 5" \
WINEPREFIX="$HOME/Library/Application Support/CrossOver/Bottles/MetaTrader 5" \
wine "C:\\Program Files\\Python312\\python.exe" \
"C:\\users\\crossover\\export_aligned.py" \
--symbol EURUSD --period M1 --bars 5000
Use When: User needs automated market data exports without GUI interaction
Limitations: Cannot access custom indicator buffers (API restriction)
Reference: /docs/guides/WINE_PYTHON_EXECUTION.md
Reference Documentation
For detailed information, see:
- Capabilities Detailed - In-depth capability documentation
- Complete Workflows - End-to-end user workflows
- Troubleshooting & Errors - Requirements, assumptions, error patterns
- Validation Metrics - Success metrics and version history
Troubleshooting
| Issue | Cause | Solution |
|---|---|---|
| Wine Python not found | CrossOver/Wine not installed | Install CrossOver, verify bottle path |
| MT5 API connection failed | MetaTrader not running | Launch MetaTrader 5 before running export |
| Correlation below 0.999 | Indicator mismatch | Verify warmup periods, check calculation alignment |
| Custom indicator not working | API restriction | Use CSV export from MT5, not Python API |
| UnicodeDecodeError | Windows path encoding | Use raw strings for Windows paths in Wine |
| Symbol not found | Wrong symbol format | Use exact MT5 symbol name (e.g., EURUSD not EUR/USD) |
| Timeout on export | Too many bars requested | Reduce bar count, default 5000 is safe |
| Permission denied | Wine prefix incorrect | Set WINEPREFIX to correct CrossOver bottle path |
Post-Execution Reflection
After this skill completes, check before closing:
- Did the command succeed? — If not, fix the instruction or error table that caused the failure.
- Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
- Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.
Only update if the issue is real and reproducible — not speculative.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/terrylica/cc-skills/python-workspace">View python-workspace on skillZs</a>