A data-driven risk assessment tool that evaluates startup viability against seven documented failure antipatterns responsible for $535B+ in burned capital.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install startup-risk-radar
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 startup-risk-radar 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 Startup Risk Radar?
The Startup Risk Radar is a sophisticated diagnostic tool designed for founders, investors, and product strategists to identify terminal business risks before they manifest. Built upon an extensive dataset of 1,749 failed startups, this Openclaw Skills integration moves beyond gut feeling to provide a structured analysis of market need, unit economics, and competitive moats.
By cross-referencing your business model against historical failure patterns such as The Hallucination (No Market Need) or The Math Problem (Unit Economics), the skill generates a high-fidelity risk scorecard. It helps users navigate the complex landscape of startup survival by highlighting not just individual red flags, but also the dangerous chain reactions that lead to total capital burn.
Startup Risk Radar Use Cases
- Validating a new product idea or startup concept against historical failure data.
- Performing a stress test on existing business model unit economics and burn rates.
- Preparing for investment rounds by identifying and mitigating regulatory or competitive risks.
- Resolving founder conflict by establishing data-driven decision-making frameworks.
- Auditing product-market fit to ensure development is driven by customer demand rather than hallucinations.
How Startup Risk Radar Works
- The agent ingests your business model details, startup idea, or current performance metrics.
- It scans reference files containing detailed mechanics and cognitive traps for 7 specific failure antipatterns.
- The system executes a 7-point assessment, scoring the venture on a scale from Low (Green) to High (Red) risk.
- It identifies the Primary Risk mode and maps out potential Cascade Risks where one failure triggers another.
- The tool generates a structured analysis report including an antipattern scorecard and specific mitigation recommendations.
Startup Risk Radar Setup
To integrate the Startup Risk Radar into your local environment, ensure you have the necessary reference files in your project directory.
# Navigate to your Openclaw Skills workspace
cd your-project-dir
# Ensure the antipatterns and chain-reactions references are available
# The skill will automatically reference these during execution
ls references/antipatterns.md references/chain-reactions.md
Startup Risk Radar Data Schema & Taxonomy
The skill utilizes a structured taxonomy to categorize failure modes and generate actionable intelligence:
| Data Point | Description |
|---|---|
| Antipattern Scorecard | A 7-point evaluation of risks like Hallucination, Bonfire, and Outlaw. |
| Cascade Risk Map | Analysis of how primary failures (e.g., Unit Economics) lead to secondary ones (e.g., Running out of Cash). |
| Sector Benchmarking | Comparison against high-failure sectors like IT, Consumer, and Financials. |
| Red Flag Inventory | A specific list of symptoms detected in the user's business model. |
Startup Risk Radar Advanced Features
- Failure Cascade Analysis: Predicts how a single weakness in the business model can trigger a domino effect of terminal failures.
- Sector-Specific Risk Weighting: Adjusts analysis based on historical failure density in Communication Services, IT, and Finance.
- Unit Economic Stress Testing: Evaluates if margins can withstand a 25% cost increase while maintaining profitability.
- Multi-Agent Strategy Support: Can be used by Openclaw Skills agents to provide critical feedback during the brainstorming or coding phases of product development.
SKILL.md
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