How do I install the Supply Chain Analysis skill?

Run npx skillmds@latest add lamm-mit/supply-chain-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Supply Chain Analysis free to use?

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Who published Supply Chain Analysis?

lamm-mit (@lamm-mit) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Supply Chain Analysis by lamm-mit — Agent Skill

Name: Supply Chain Analysis
Author: lamm-mit

File contents

Supply Chain Risk Analysis

Compute supply chain risk metrics for critical minerals including the Herfindahl-Hirschman Index (HHI) for production concentration, net import reliance (NIR), top-3 country share, and multi-year trend analysis. Combines data from BGS World Mineral Statistics and USGS Mineral Commodity Summaries.

Usage

Full risk assessment:

python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium"

Specific metrics:

python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,nir,top3share

Historical trend:

python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics trend --year-from 2015

JSON output:

python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Graphite" --format json

Parameters

Parameter	Description	Default
`--commodity`	Commodity name (BGS naming)	Required
`--year`	Target year for analysis	latest available
`--year-from`	Start year for trend analysis	-
`--metrics`	Comma-separated metrics: hhi, nir, top3share, trend, all	all
`--format`	Output format: summary, json	summary

Metrics Explained

Metric	Description	Risk Thresholds
HHI	Herfindahl-Hirschman Index (0-10000)	<1500 low, 1500-2500 moderate, >2500 high
NIR	US Net Import Reliance (%)	<25% low, 25-75% moderate, >75% high
Top-3 Share	Combined share of top 3 producers	<50% low, 50-75% moderate, >75% high
Trend	Year-over-year production change	Increasing/stable/declining

Examples

# Comprehensive lithium supply chain risk assessment
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium" --format json

# Cobalt concentration analysis
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,top3share

# Rare earth NIR trend
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics nir,trend --year-from 2018

Notes

HHI from BGS country-level production data (free API, no auth)
NIR from USGS Mineral Commodity Summaries (requires local data files)
Trend analysis requires multiple years of data
Some commodities may not have all metrics available
For raw production data, use bgs-production skill

---name: supply-chain-analysisdescription: Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis---# Supply Chain Risk AnalysisCompute supply chain risk metrics for critical minerals including the Herfindahl-Hirschman Index (HHI) for production concentration, net import reliance (NIR), top-3 country share, and multi-year trend analysis. Combines data from BGS World Mineral Statistics and USGS Mineral Commodity Summaries.## Usage### Full risk assessment:```bashpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium"```### Specific metrics:```bashpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,nir,top3share```### Historical trend:```bashpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics trend --year-from 2015```### JSON output:```bashpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Graphite" --format json```## Parameters| Parameter | Description | Default ||-----------|-------------|---------|| `--commodity` | Commodity name (BGS naming) | Required || `--year` | Target year for analysis | latest available || `--year-from` | Start year for trend analysis | - || `--metrics` | Comma-separated metrics: hhi, nir, top3share, trend, all | all || `--format` | Output format: summary, json | summary |## Metrics Explained| Metric | Description | Risk Thresholds ||--------|-------------|-----------------|| **HHI** | Herfindahl-Hirschman Index (0-10000) | <1500 low, 1500-2500 moderate, >2500 high || **NIR** | US Net Import Reliance (%) | <25% low, 25-75% moderate, >75% high || **Top-3 Share** | Combined share of top 3 producers | <50% low, 50-75% moderate, >75% high || **Trend** | Year-over-year production change | Increasing/stable/declining |## Examples```bash# Comprehensive lithium supply chain risk assessmentpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium" --format json# Cobalt concentration analysispython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,top3share# Rare earth NIR trendpython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics nir,trend --year-from 2018```## Notes- HHI from BGS country-level production data (free API, no auth)- NIR from USGS Mineral Commodity Summaries (requires local data files)- Trend analysis requires multiple years of data- Some commodities may not have all metrics available- For raw production data, use `bgs-production` skill

Frequently asked questions

Supply Chain Analysis