lamm-mit/supply-chain-analysis
skills/supply-chain-analysis/SKILL.md
Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis
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SKILL.md
- name:
- supply-chain-analysis
- description:
- Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis
- emoji:
- 📊
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-productionskill
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