·backsolve-miner-vs-metal-ratio-with-fundamentals
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backsolve-miner-vs-metal-ratio-with-fundamentals

fatfingererr/macro-skills

從網路自動抓取礦業公司財務報表與營運揭露(產量、成本、資本支出),回算「礦業股/金屬本體比率」的基本面解釋與區間門檻(如 1.2/1.7),並輸出可重現的估值拆解(成本因子 / 槓桿因子 / 倍數因子 / 稀釋因子)。

7Installs·0Trend·@fatfingererr

Installation

$npx skills add https://github.com/fatfingererr/macro-skills --skill backsolve-miner-vs-metal-ratio-with-fundamentals

SKILL.md

| 1 | MD&A / 財報附註 | 關鍵字抽取:「AISC」「all-in sustaining」 | | 2 | 年報簡報 PDF | 解析表格:$/oz 或 $/ounce | | 3 | Proxy 回算 | (OpCost + SustCapex + G&A - Byproduct) / Oz |

| 1, "快速", "quick", "分析" | 執行 python scripts/fundamentalanalyzer.py --quick | | 2, "完整", "full", "財報" | 閱讀 workflows/analyze.md 並執行 | | 3, "因子", "factor", "拆解" | 閱讀 references/fundamental-factors.md | | 4, "反推", "backsolve", "門檻" | 閱讀 references/backsolve-math.md 並執行反推分析 | | 5, "事件", "event", "底部" | 閱讀 workflows/analyze.md 並聚焦事件研究 |

| 6, "學習", "方法論", "why" | 閱讀 references/fundamental-factors.md + backsolve-math.md | | 7, "視覺化", "圖", "chart" | 執行 python scripts/visualizefactors.py --quick | | 8, "共同上漲", "情境", "路徑" | 執行 python scripts/scenariopathsimulator.py --quick | | "比例關係", "漲幅", "要漲多少" | 執行 python scripts/scenariopathsimulator.py --quick |

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/fatfingererr/macro-skills --skill backsolve-miner-vs-metal-ratio-with-fundamentals
Category
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Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is backsolve-miner-vs-metal-ratio-with-fundamentals?

從網路自動抓取礦業公司財務報表與營運揭露(產量、成本、資本支出),回算「礦業股/金屬本體比率」的基本面解釋與區間門檻(如 1.2/1.7),並輸出可重現的估值拆解(成本因子 / 槓桿因子 / 倍數因子 / 稀釋因子)。 Source: fatfingererr/macro-skills.

How do I install backsolve-miner-vs-metal-ratio-with-fundamentals?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fatfingererr/macro-skills --skill backsolve-miner-vs-metal-ratio-with-fundamentals Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/fatfingererr/macro-skills