Analyze Rolex Market Index Liquidity Proxy
ListedAssess Rolex market health using a liquidity proxy index, identifying trends and potential investment opportunities.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add fatfingererr/macro-skills --skill analyze-rolex-market-index-liquidity-proxy -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: fred.stlouisfed.org, watchcharts.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
fred.stlouisfed.orgundeclaredwatchcharts.comundeclared127.0.0.1localgithub.comsource hostWhat it found (3 of 7)
- skills/analyze-rolex-market-index-liquidity-proxy/manifest.json:62contacts fred.stlouisfed.org
"url": "https://fred.stlouisfed.org", - skills/analyze-rolex-market-index-liquidity-proxy/scripts/rolex_market_index_analyzer.py:33contacts fred.stlouisfed.org
FRED_CSV_URL = "https://fred.stlouisfed.org/graph/fredgraph.csv" - skills/analyze-rolex-market-index-liquidity-proxy/manifest.json:68contacts watchcharts.com
"url": "https://watchcharts.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
- Scanned
- 14 files, 3,439 lines
About this skill
What it does
This skill analyzes the Rolex market index and acts as a liquidity proxy. It provides insights into the current state of the Rolex market, identifying trends and potential investment opportunities based on liquidity indicators. The tool can be used to assess risk and inform trading decisions related to Rolex watches.
When to use it
- Investment Research: Before investing in Rolex watches, understand current market conditions and liquidity levels.
- Portfolio Management: Monitor the performance of Rolex holdings within a broader investment portfolio.
- Market Trend Analysis: Identify emerging trends or shifts in the demand for specific Rolex models.
- Risk Assessment: Evaluate the potential risks associated with trading Rolex watches based on liquidity data.
Key capabilities
- Rolex market index analysis
- Liquidity proxy calculation
- Trend identification
- Market condition assessment
Example prompts
- "What is the current Rolex market index value and its trend?"
- "Analyze the liquidity of Daytona models in the secondary market."
- "Compare the Rolex market index to other luxury goods indices."
Tips & gotchas
The accuracy of the analysis depends on the availability and quality of underlying data. Results should be considered alongside other market indicators for a comprehensive view.