Analyze Copper Stock Resilience Dependency
ListedEvaluates copper stock resilience to supply chain disruptions, identifying critical dependencies and potential vulnerabilities.
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-copper-stock-resilience-dependency -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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: en.macromicro.me, finance.yahoo.com, tradingeconomics.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.comundeclaredtradingeconomics.comundeclareden.macromicro.meundeclaredgithub.comsource hostWhat it found (3 of 6)
- skills/analyze-copper-stock-resilience-dependency/manifest.json:75contacts finance.yahoo.com
"url": "https://finance.yahoo.com", - skills/analyze-copper-stock-resilience-dependency/manifest.json:91contacts tradingeconomics.com
"url": "https://tradingeconomics.com", - skills/analyze-copper-stock-resilience-dependency/scripts/fetch_data.py:11contacts en.macromicro.me
- 中國10Y殖利率:MacroMicro (https://en.macromicro.me/charts/133362/China-10Year-Government-Bond-Yield)
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
- 16 files, 4,762 lines
About this skill
What it does
This skill analyzes copper stock resilience and dependencies. It identifies potential vulnerabilities within a supply chain by assessing factors impacting copper availability, processing, and distribution. The analysis helps predict the impact of disruptions on downstream industries relying on copper.
When to use it
- Supply Chain Risk Assessment: Evaluate the vulnerability of your business or clients to fluctuations in copper prices and availability.
- Investment Strategy: Inform decisions about investments related to copper mining, processing, or manufacturing.
- Scenario Planning: Model potential disruptions (e.g., geopolitical events, natural disasters) and their impact on copper supply.
- Due Diligence: Assess the resilience of a company's operations that are heavily reliant on copper.
Key capabilities
- Resilience assessment
- Dependency mapping
- Vulnerability identification
- Disruption prediction
Example prompts
- "Analyze the potential impact of a mine closure in Chile on global copper supply."
- "Identify key dependencies within the North American copper processing chain."
- "Assess the resilience of electric vehicle manufacturing to disruptions in copper availability."
Tips & gotchas
The skill's accuracy depends on the quality and completeness of available data. Results should be interpreted as probabilities, not certainties, given the complexity of global supply chains.