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Analyze Investment Clock Rotation

Listed
fatfingererr·vlatest·other·MIT

Predicts optimal investment timing based on cyclical market patterns and historical rotation data.

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-investment-clock-rotation -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: fred.stlouisfed.org.

    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

    fred.stlouisfed.orgundeclaredgithub.comsource host

    What it found

    • skills/analyze-investment-clock-rotation/manifest.json:70contacts fred.stlouisfed.org
      "url": "https://fred.stlouisfed.org",
    • skills/analyze-investment-clock-rotation/references/data-sources.md:17contacts fred.stlouisfed.org
      curl "https://fred.stlouisfed.org/graph/fredgraph.csv?id=NFCI&cosd=2020-01-01&coed=2026-01-01"
    • skills/analyze-investment-clock-rotation/scripts/fetch_data.py:38contacts fred.stlouisfed.org
      url = "https://fred.stlouisfed.org/graph/fredgraph.csv"

  • 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-investment-clock-rotation/SKILL.md
Scanned
14 files, 3,703 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 investment clock rotation, identifying the cyclical patterns in asset performance. It assesses how different asset classes perform relative to each other over time and predicts potential future rotations based on historical trends. The analysis helps users understand when certain assets might outperform others within a defined economic cycle.

When to use it

  • Portfolio Rebalancing: Determine which asset classes are poised for outperformance and adjust portfolio allocations accordingly.
  • Strategic Asset Allocation: Inform long-term investment strategies by understanding the historical rotation patterns of different asset classes.
  • Identifying Emerging Trends: Spot potential shifts in market leadership based on cyclical analysis.
  • Scenario Planning: Evaluate how a portfolio might perform under different economic cycle scenarios.

Key capabilities

  • Historical data analysis
  • Asset class performance tracking
  • Cyclical pattern identification
  • Predictive rotation modeling

Example prompts

  • "Analyze the investment clock rotation for US equities, bonds, and real estate over the past 20 years."
  • "What are the key drivers of asset rotation in a rising interest rate environment?"
  • "Based on historical patterns, which asset class is likely to outperform in the next 6-12 months?"

Tips & gotchas

The accuracy of predictions depends heavily on the availability and quality of historical data. Results should be considered as directional guidance rather than definitive forecasts.