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Setup

Listed
marketcalls·vlatest·data

Automatically configure market data feeds and alerts based on user-defined criteria within MarketCalls.

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 marketcalls/vectorbt-backtesting-skills --skill setup -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

marketcalls

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: prdownloads.sourceforge.net.

    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.

    Hosts contacted

    prdownloads.sourceforge.netundeclared127.0.0.1local

    What it found

    • .claude/skills/setup/SKILL.md:74contacts prdownloads.sourceforge.net
      wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
    • .claude/skills/setup/SKILL.md:87contacts prdownloads.sourceforge.net
      wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz

  • 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 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 marketcalls/vectorbt-backtesting-skills at 05d9e8b12f.

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

Commit
05d9e8b12f
Manifest
.claude/skills/setup/SKILL.md
Scanned
1 file, 197 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 initializes the VectorBT backtesting environment, preparing your AI agent to execute quantitative trading strategies using historical market data. It configures the necessary libraries and settings required for rigorous performance evaluation of financial models.

When to use it

  • Before running any backtests to ensure all dependencies like vectorbt are correctly installed in the execution environment.
  • When setting up a new project folder dedicated to quantitative analysis and strategy development.
  • To standardize the configuration for testing multiple trading strategies against consistent historical datasets.
  • Prior to generating performance metrics such as equity curves, drawdowns, or Sharpe ratios.

Key capabilities

  • Installs and configures the VectorBT library specifically for backtesting tasks.
  • Sets up the foundational environment needed for time-series analysis of financial markets.
  • Prepares the system to handle large-scale historical data processing efficiently.

Example prompts

  • "Run the setup script to prepare my environment for testing a moving average crossover strategy."
  • "Initialize the VectorBT backtesting framework so I can start analyzing crypto market data."
  • "Execute the setup command to ensure all required trading libraries are available before running simulations."

Tips & gotchas

Ensure you have sufficient disk space and network connectivity, as installing backtesting libraries often requires downloading significant historical datasets. This skill is strictly for environment preparation; it does not execute trades or strategies itself.