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Market Breadth Analyzer

Checked
tradermonty·vlatest·data·MIT

Analyzes stock market sector diversification to identify potential risks and opportunities by measuring overall market breadth.

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 tradermonty/claude-trading-skills --skill market-breadth-analyzer -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

tradermonty

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

    Only contacts known or declared hosts: tradermonty.github.io.

    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

    tradermonty.github.ioproject documentation

  • 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 tradermonty/claude-trading-skills at fac23bed61.

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

Commit
fac23bed61
Manifest
skills/market-breadth-analyzer/SKILL.md
Scanned
26 files, 4,192 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

The Market Breadth Analyzer assesses the health of stock market sector diversification using a data-driven approach. It quantifies market breadth with a scoring system ranging from 0 to 100, where 100 represents maximum participation and 0 indicates critical weakness. The skill utilizes publicly available CSV data from GitHub Pages to measure how broadly the market is participating in rallies or declines, providing insights into potential risks and opportunities.

When to use it

  • When you want to understand if a market rally is broad-based.
  • To assess the overall participation rate of stocks in a market trend.
  • If you're interested in advance-decline indicators or breadth thrust measurements.
  • To determine if the market is narrowing, meaning fewer stocks are participating.
  • When considering equity exposure levels based on current market breadth conditions.

Key capabilities

  • Calculates a composite market breadth score (0-100).
  • Utilizes six scored components to assess market health.
  • Provides a zone classification for the overall score.
  • Identifies strongest and weakest contributing components.
  • Recommends equity exposure levels based on breadth conditions.
  • Tracks historical scores and computes trends (improving, deteriorating, or stable).
  • Requires no API keys; uses publicly available data.

Example prompts

  • "Is the market rally broad-based?"
  • "How healthy is market breadth right now?"
  • "What are the key breadth levels to watch?"
  • “Can you show me a report on market breadth?”

Tips & gotchas

  • Requires Python 3.8 or higher with the requests library installed.
  • Needs an active internet connection to access data from GitHub Pages.
  • The skill will warn if the data is older than five days.