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Analyze Retail Inverse Etf Allocation

Listed
fatfingererr·vlatest·other·MIT

Determines optimal inverse ETF retail allocation based on risk tolerance and market outlook, minimizing downside exposure.

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 analyze-retail-inverse-etf-allocation -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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: finance.yahoo.com.

    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

    finance.yahoo.comundeclaredgithub.comsource host

    What it found

    • skills/analyze-retail-inverse-etf-allocation/manifest.json:71contacts finance.yahoo.com
      "url": "https://finance.yahoo.com",

  • 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/analyze-retail-inverse-etf-allocation/SKILL.md
Scanned
14 files, 1,874 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 retail investor allocations to inverse ETFs. It identifies trends in these allocations, providing insights into potential market sentiment and risk exposure. The analysis helps understand the degree of contrarian positioning among retail investors based on ETF holdings.

When to use it

  • Market Sentiment Analysis: Gauge whether retail investors are exhibiting bearish or bullish tendencies through their inverse ETF positions.
  • Risk Assessment: Evaluate the overall risk profile of retail investor portfolios by examining their exposure to inverse ETFs.
  • Identifying Contrarian Signals: Detect potential opportunities arising from widespread contrarian positioning among retail investors.
  • Portfolio Strategy Adjustment: Inform adjustments to investment strategies based on observed trends in retail ETF allocations.

Key capabilities

  • Analyzes retail investor holdings of inverse ETFs.
  • Identifies allocation trends over time.
  • Provides insights into market sentiment.
  • Assesses risk exposure within retail portfolios.

Example prompts

  • "What are the current trends in retail investor allocations to inverse S&P 500 ETFs?"
  • "Analyze the historical relationship between retail inverse ETF holdings and overall market performance."
  • "How has retail allocation to inverse sector ETFs changed over the last quarter?"

Tips & gotchas

The accuracy of the analysis depends on the availability and quality of data regarding retail investor ETF holdings. Results should be interpreted cautiously, as retail investor behavior can be influenced by various factors beyond pure market sentiment.