A systematic research framework designed to analyze non-consumer-facing upstream material providers within complex supply chains.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install upstream-material-cn
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install upstream-material-cn using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Upstream Material Analysis Framework?
The Upstream Material Analysis Framework provides an AI-driven, systematic methodology for evaluating business-to-business upstream material companies. This includes sectors like copper foil, substrates, crystals, resins, glass fibers, and carrier board materials that do not directly interact with end-market module or equipment manufacturers. By using Openclaw Skills, researchers can map intricate value chains, isolate market bottlenecks, and separate market rumors from cold, hard fiscal reality.
This framework addresses the complex problem of value attenuation, where an upstream supplier sits multiple layers away from the final end-product (such as behind CCL, carrier board, and packaging factories). It enables analysts to accurately project downstream market signals backward through the supply chain, evaluating capacity expansions, technological path transitions, and domestic substitution vectors with mathematical precision.
Upstream Material Analysis Framework Use Cases
- Evaluating stock investment potential for upstream industrial raw material suppliers.
- Analyzing supply chain constraints and bottlenecks such as technical barriers or long validation cycles.
- Assessing the financial impact of technological route switches (e.g., transitioning from 1.6T to mSAP for carrier copper foil).
- Conducting deep-dive competitive analysis between multiple upstream market contenders.
How Upstream Material Analysis Framework Works
- Map the Conduction Chain: Identify the precision placement of the target within the supply chain hierarchy from raw materials to intermediate manufacturers down to the final product.
- Evaluate Supply and Demand Dynamics: Run comprehensive checklist audits tracking market concentration (CR1), top-tier capacity expansion intentions, price adjustments, and domestic substitution windows.
- Calculate Price and Volume Projections: Utilize a standard pricing model template to compute total material demand, target market share, projected revenue, net profit margin contribution, and overall profit increment proportions.
- Verify Downstream Customers: Investigate investor relations data, downstream manufacturer transcripts, trade show comparison details, and expert consultations to cross-verify customer acceptance milestones.
- Run Long-Short Debates and Multi-Target Comparisons: Contrast the target company against 2-3 direct peers across four core vectors: purity of high-end revenue, financial solvency, technological milestones, and valuation multiples.
- Consolidate Output Documents: Standardize research into explicit stock-profile snapshots, updated supply chain graph records, and methodology case summaries for future AI reference.
Upstream Material Analysis Framework Setup
To initiate the analytical framework within your AI workspace, ensure your references folder contains the required model equations and case blueprints.
# Navigate to your agent's knowledge workspace
cd path/to/openclaw/workspace
# Create the structure for the material analysis reference modules
mkdir -p references
# Pull or create the essential configuration formulas
touch references/pricing-model.md
touch references/case-carrier-copper-foil.md
Configure your automated agent to track core trigger terms such as upstream material analysis, supply chain upstream, bottlenecks, domestic substitution, and copper foil analysis to initiate the processing pipeline.
Upstream Material Analysis Framework Data Schema & Taxonomy
The framework generates a strict taxonomy of information assets to avoid data fragmentation. Data models utilize the following reference structures:
Required Reference Files
| Path | Purpose |
|---|---|
references/pricing-model.md |
Contains structural pricing calculation formulas and scenario analysis parameters. |
references/case-carrier-copper-foil.md |
Serves as the historical master blueprint for full lifecycle upstream research processes. |
Output Profile Taxonomy
- Stock Profile Data Snapshots: Contains one-sentence positioning statements, core technical bottlenecks, data snapshots, volume/price models, long-short debate documentation, and pending verification backlogs.
- Supply Chain Maps (
supply-chain.md): Updated visual dependencies or standalone sector link maps logging the precise conduction flow from base material to end customer.
Upstream Material Analysis Framework Advanced Features
- Scenario Analysis Modelling: Built-in calculation modules to split financial projections cleanly across conservative, neutral, optimistic, and aggressive market scenarios.
- Conduction Chain Penetration: Triggers deep context evaluation when mapping dependencies that sit multiple layers away from final consumer applications.
- Tiered Source Priority Filtering: Multi-stage source verification protocol that prioritizes first-hand regulatory filings and investor relationship disclosures over secondary broker reports or social web commentary.
- Independent Validation vs. Volume Scaling Checks: Disconnects validation acceptance milestones from production volume projections, eliminating artificial valuation bubbles.
SKILL.md
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