evaluating-critical-minerals-supply-chains

Assesses critical mineral investments with supply chain mapping, geopolitical risk, and processing infrastructure analysis. Use when evaluating critical minerals, analyzing lithium/cobalt supply, or assessing rare earth investments.

11 stars

Best use case

evaluating-critical-minerals-supply-chains is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Assesses critical mineral investments with supply chain mapping, geopolitical risk, and processing infrastructure analysis. Use when evaluating critical minerals, analyzing lithium/cobalt supply, or assessing rare earth investments.

Teams using evaluating-critical-minerals-supply-chains should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/evaluating-critical-minerals-supply-chains/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/evaluating-critical-minerals-supply-chains/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/evaluating-critical-minerals-supply-chains/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How evaluating-critical-minerals-supply-chains Compares

Feature / Agentevaluating-critical-minerals-supply-chainsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Assesses critical mineral investments with supply chain mapping, geopolitical risk, and processing infrastructure analysis. Use when evaluating critical minerals, analyzing lithium/cobalt supply, or assessing rare earth investments.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Evaluating Critical Minerals Supply Chains

## When To Use

- Evaluating an investment in a lithium, cobalt, nickel, rare earth, graphite, manganese, or other critical mineral asset
- Assessing supply chain concentration risk for a mineral or battery-metals portfolio
- Analyzing midstream processing capacity (refining, chemical conversion, cathode/anode production) as part of a capital allocation decision
- Benchmarking a project's positioning against geopolitical sourcing mandates (e.g., IRA domestic content, EU Critical Raw Materials Act) [VERIFY current regulatory thresholds]
- Due diligence on offtake agreements, streaming deals, or royalty interests tied to critical minerals

## Inputs To Gather

- **Target mineral(s):** Specific commodity (lithium carbonate vs. spodumene, Class 1 nickel vs. laterite, separated rare earth oxides vs. concentrate, etc.)
- **Asset stage:** Exploration, PFS/DFS, permitted/construction, producing, or brownfield expansion
- **Geographic jurisdiction:** Mine location, processing location, end-market destination
- **Project economics:** Capex, opex/cash-cost curve position, NPV/IRR at sponsor assumptions and at spot/forward pricing
- **Offtake structure:** Binding vs. non-binding, floor/ceiling pricing, volume commitments, counterparty creditworthiness
- **Technical reports:** NI 43-101, JORC, or S-K 1300 compliant resource/reserve estimates; metallurgical recovery data
- **Ownership and permitting:** Tenure security, beneficial ownership chain, environmental and social permits, Indigenous consultation status [VERIFY jurisdiction-specific permitting frameworks]

## Workflow

1. **Map the supply chain node.** Determine where the asset sits in the value chain — upstream extraction, midstream processing/refining, or downstream component manufacturing. Identify which segment(s) the investment thesis depends on.

2. **Assess resource quality and scalability.**
   - Review grade, tonnage, and strip ratio against peer deposits
   - Evaluate metallurgical complexity (e.g., hard-rock vs. brine lithium, sulfide vs. laterite nickel) and its impact on processing route and capex intensity
   - Check resource-to-reserve conversion ratio and remaining exploration upside

3. **Analyze cost-curve positioning.**
   - Place the asset on the global cash-cost curve for the target mineral (C1 cash cost, AISC)
   - Stress-test economics against 10-year price scenarios: bear-case (oversupply/substitution), base-case (consensus demand), bull-case (accelerated EV/storage adoption)
   - Flag sensitivity to energy inputs, reagent costs, and water availability

4. **Evaluate geopolitical and concentration risk.**
   - Quantify country-level supply concentration (e.g., DRC cobalt ~70%, China rare earth processing ~60%) [VERIFY current share data]
   - Assess sanctions exposure, resource nationalism risk (royalty changes, export bans, beneficiation mandates), and political stability indicators
   - Determine eligibility for incentive regimes: IRA Section 45X advanced manufacturing credits, EU CRMA strategic project status, or allied-nation FTA sourcing requirements [VERIFY current eligibility thresholds and phase-in dates]

5. **Review processing infrastructure and bottlenecks.**
   - Map the downstream pathway from mine-gate to battery cell or end-use product
   - Identify processing chokepoints (e.g., conversion capacity for lithium hydroxide, cobalt sulfate refining, rare earth separation)
   - Assess whether the project has or can secure processing capacity — owned, tolling, or third-party offtake

6. **Evaluate offtake and market access.**
   - Analyze binding offtake terms: pricing mechanism (spot-linked, fixed, hybrid), volume ramp, take-or-pay provisions, force majeure carve-outs
   - Assess counterparty concentration — single OEM vs. diversified buyer base
   - Flag any exclusivity or change-of-control provisions that constrain exit options

7. **Score ESG and permitting risk.**
   - Review environmental liabilities: tailings management, water usage, carbon intensity per tonne of product
   - Assess social license: community agreements, Indigenous rights, artisanal mining overlap (especially cobalt, tantalum)
   - Confirm permitting timeline and remaining regulatory approvals [VERIFY jurisdiction-specific environmental review process]

8. **Synthesize investment recommendation.**
   - Summarize risk-adjusted return profile with key upside/downside scenarios
   - Rank top three risks and top three catalysts
   - Provide a clear go/no-go/conditional recommendation with stated conditions

## Output

Produce a structured **Critical Minerals Investment Evaluation Report** containing:

- **Executive Summary:** Mineral, asset stage, jurisdiction, and recommendation in 3–5 sentences
- **Supply Chain Map:** Visual or tabular depiction of the mine-to-market pathway with identified chokepoints
- **Resource and Cost Analysis:** Grade/tonnage benchmarking and cost-curve position
- **Geopolitical Risk Matrix:** Country risk score, regulatory incentive eligibility, concentration exposure
- **Offtake and Market Assessment:** Contract terms summary, counterparty analysis, demand outlook
- **ESG and Permitting Summary:** Key environmental/social risks with permit status timeline
- **Risk-Return Summary:** Scenario-based NPV/IRR table, top risks, top catalysts, and final recommendation

## Quality Checks

- All resource estimates reference a compliant technical standard (NI 43-101, JORC, S-K 1300) — flag any non-compliant figures
- Cost-curve data is sourced and dated; do not present stale benchmarks as current
- Geopolitical supply-share percentages are cited to a specific source and year [VERIFY]
- Regulatory incentive eligibility reflects current enacted law, not proposed legislation, unless clearly labeled
- Offtake analysis distinguishes binding from non-binding commitments
- Stress-test scenarios include at least one case where the primary commodity price drops below the asset's AISC
- Mark any forward-looking demand projections with their source model and vintage year

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