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Detect Us Equity Valuation Percentile Extreme

Listed
fatfingererr·vlatest·data·MIT

This skill identifies US equity valuations falling in the extreme percentiles, alerting you to potentially overvalued or undervalued stocks.

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 fatfingererr/macro-skills --skill detect-us-equity-valuation-percentile-extreme -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

fatfingererr

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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: finance.yahoo.com, fred.stlouisfed.org, www.econ.yale.edu.

    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

    www.econ.yale.eduundeclaredfred.stlouisfed.orgundeclaredfinance.yahoo.comundeclaredgithub.comsource host

    What it found (3 of 10)

    • skills/detect-us-equity-valuation-percentile-extreme/manifest.json:69contacts www.econ.yale.edu
      "url": "http://www.econ.yale.edu/~shiller/data.htm",
    • skills/detect-us-equity-valuation-percentile-extreme/references/data-sources.md:52contacts www.econ.yale.edu
      url = "http://www.econ.yale.edu/~shiller/data/ie_data.xls"
    • skills/detect-us-equity-valuation-percentile-extreme/scripts/fetch_valuation_data.py:57contacts www.econ.yale.edu
      url = "http://www.econ.yale.edu/~shiller/data/ie_data.xls"

  • 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 fatfingererr/macro-skills at 13e5388028.

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

Commit
13e5388028
Manifest
skills/detect-us-equity-valuation-percentile-extreme/SKILL.md
Scanned
16 files, 4,939 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 analyzes US equity valuations and determines their percentile ranking relative to historical data. It identifies extreme valuation levels, highlighting stocks significantly over or undervalued compared to the broader market. The tool provides a quantitative assessment of whether current valuations are unusually high or low based on past trends.

When to use it

  • Investment Research: Quickly assess if a stock's valuation is historically expensive or cheap.
  • Portfolio Management: Identify potential opportunities for buying undervalued assets or avoiding overvalued ones.
  • Risk Assessment: Gauge the risk associated with investments based on extreme valuation metrics.
  • Market Analysis: Understand broader market trends and identify periods of unusual exuberance or pessimism.

Key capabilities

  • Calculates US equity valuation percentile ranking.
  • Identifies extreme (high/low) valuation levels.
  • Uses historical data for comparison.

Example prompts

  • "What is the current percentile ranking of Apple's P/E ratio?"
  • "Are there any US equities currently trading at an extremely low valuation based on their price-to-book ratio?"
  • "Show me a list of stocks with a valuation in the bottom 1% historically."

Tips & gotchas

The skill relies on historical data; market conditions can change, and past performance isn't indicative of future results. Results should be considered alongside other fundamental and technical analysis factors.