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Python Workspace

Checked
terrylica·vlatest·backend·MIT

Automates Python project setup, dependency management, and virtual environment creation within a dedicated workspace.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add terrylica/cc-skills --skill python-workspace -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

terrylica

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned terrylica/cc-skills at 3a1dc29965.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3a1dc29965
Manifest
plugins/mql5/skills/python-workspace/SKILL.md
Scanned
6 files, 812 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill facilitates the translation of MQL5 indicators to Python implementations within a dedicated workspace. It automates this process with features like headless market data export, CLI compilation, and automated validation against the original MQL5 indicator. The goal is to make MQL5-Python translation as seamless as possible, ensuring high accuracy (correlation >= 0.999).

When to use it

  • Exporting market data or indicator values from MetaTrader 5.
  • Translating MQL5 indicators into Python code.
  • Validating the accuracy of translated Python indicators against their MQL5 counterparts.
  • Understanding the capabilities and limitations of the MQL5-Python workflow.
  • Troubleshooting common translation issues.

Key capabilities

  • Automated Headless Market Data Export: Fetches OHLCV data and built-in indicators (RSI, SMA) from any symbol/timeframe without GUI interaction.
  • MQL5 Indicator Translation: Converts MQL5 indicator code to Python implementations.
  • Accuracy Validation: Ensures translated indicators maintain a correlation of at least 0.999 with the original MQL5 version.
  • Self-Correction: Documents and prevents recurring errors in the translation process.

Example prompts

  • "Translate this MQL5 indicator to Python."
  • "Export market data for EURUSD, period M1, 5000 bars."
  • "Validate the accuracy of my translated indicator."

Tips & gotchas

  • MetaTrader 5 must be running before attempting to export data.
  • The skill cannot access custom indicator buffers due to API restrictions; use CSV export from MT5 in those cases.
  • Refer to the documentation for detailed information, troubleshooting steps and version history.