Skip to content
TrustedSkillsbeta
Back to all skills

Analyze Copper Inventory Rebuild Signal

Listed
fatfingererr·vlatest·other·MIT

Automatically analyzes copper inventory levels and generates rebuild signals to prevent shortages based on historical usage 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-copper-inventory-rebuild-signal -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: en.macromicro.me, finance.yahoo.com, www.macromicro.me.

    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

    en.macromicro.meundeclaredfinance.yahoo.comundeclaredwww.macromicro.meundeclared127.0.0.1localgithub.comsource host

    What it found (3 of 7)

    • skills/analyze-copper-inventory-rebuild-signal/manifest.json:76contacts en.macromicro.me
      "url": "https://en.macromicro.me/series/8743/copper-shfe-warehouse-stock",
    • skills/analyze-copper-inventory-rebuild-signal/scripts/fetch_copper_data.py:10contacts en.macromicro.me
      - SHFE 銅庫存: https://en.macromicro.me/series/8743/copper-shfe-warehouse-stock
    • skills/analyze-copper-inventory-rebuild-signal/scripts/fetch_copper_data.py:42contacts en.macromicro.me
      SHFE_INVENTORY_URL = "https://en.macromicro.me/series/8743/copper-shfe-warehouse-stock"

  • 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-copper-inventory-rebuild-signal/SKILL.md
Scanned
16 files, 4,554 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 copper inventory data and generates a rebuild signal. It processes information about current copper levels, desired target levels, and potential sources of replenishment to determine the appropriate action. The resulting signal can then be used to trigger automated actions like ordering more copper or adjusting mining operations.

When to use it

  • Low Copper Warnings: When your system detects low copper reserves and needs a plan for restoration.
  • Automated Mining Adjustments: To dynamically adjust mining rates based on current inventory levels and projected demand.
  • Supply Chain Optimization: To proactively order more copper before shortages occur, optimizing supply chain efficiency.
  • Resource Management: As part of a broader resource management system to ensure sufficient materials for ongoing operations.

Key capabilities

  • Inventory Analysis: Determines current copper inventory levels.
  • Target Level Comparison: Compares current levels against defined target levels.
  • Rebuild Signal Generation: Creates a signal indicating the necessary action (e.g., order more, increase mining).

Example prompts

  • "Analyze current copper inventory and generate a rebuild signal."
  • "What is the recommended action to restore copper reserves to the target level?"
  • "Based on current usage rates, what's the next copper replenishment needed?"

Tips & gotchas

The skill requires access to real-time copper inventory data. Ensure the AI agent has appropriate permissions and connectivity to retrieve this information for accurate analysis.