A rapid-response crisis evaluator for stablecoin depeg events, helping users identify asymmetric arbitrage opportunities based on collateral health and exploit analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stablecoin-depeg-scanner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install stablecoin-depeg-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Stablecoin Depeg Scanner is a specialized framework within Openclaw Skills designed for high-stakes crypto market volatility. It operates on the philosophy that depeg events create panic pricing, where the primary objective is to determine if market discounts exceed the actual technical damage. By synthesizing real-time data from DefiLlama and CoinGecko with manual exploit forensics, this skill provides a structured path from panic to profit.
This tool is essential for traders looking to capitalize on black swan events. It moves beyond simple price tracking by requiring a deep dive into smart contract logic, team responsiveness, and collateral integrity, ensuring that users only take calculated risks with high recovery probabilities.
To integrate this capability into your environment, ensure you have the necessary dependencies installed for data fetching:
# Navigate to the skill directory
cd stablecoin-depeg-scanner
# Install required Python dependencies
pip install -r requirements.txt
# Run a test evaluation
python scripts/depeg_eval.py USR --capital 5000
The skill organizes its findings through a multi-step verification process, primarily utilizing external APIs and references:
| Data Point | Source | Description |
|---|---|---|
| Current Price | CoinGecko | Real-time market valuation |
| TVL | DefiLlama | Real-time on-chain collateral verification |
| Exploit Type | Security Reports | Classification (Mint/Logic vs. Drain) |
| Score | Logic Script | Weighted probability of recovery |
| Final Output | Template | Structured Markdown report for the user |
Loading
A visualization-focused skill that renders BestYou health data into professional Dark Glass dashboards using the OpenClaw canvas.

A powerful orchestration skill that delegates coding tasks to specialized AI agents like Codex, Claude, and Pi via background bash processes.

A sophisticated tool for programmatically creating, inspecting, and editing Microsoft PowerPoint presentations with a focus on template fidelity and visual quality.

A comprehensive framework and SOP for establishing business-ready dashboards with clear metrics and compliance standards.

A comprehensive system security hardening and risk-tolerance auditing tool for OpenClaw deployments.

A comprehensive AI skill for searching Simpsons episode scripts and generating grounded character impressions through local indexing and script analysis.








































