A comprehensive AI agent skill for discovering, evaluating, and monitoring decentralized applications through deep on-chain data analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dapp
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 dapp 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 Dapp?
The Dapp skill is a specialized intelligence layer for Openclaw Skills designed to convert raw blockchain transparency into a persistent information advantage. While on-chain data is public, the ability to interpret signals like wallet clusters, liquidity shifts, and contract interactions before they are priced in is rare. This skill automates the detection of these signals, providing developers and investors with a sophisticated toolkit for the Web3 ecosystem.
By operating with a focus on privacy and local execution, the Dapp skill allows users to monitor the pulse of decentralized finance without exposing private keys or search intent. It bridges the gap between technical contract code and actionable economic insights, ensuring that users can evaluate the sustainability and security of any protocol systematically.
Dapp Use Cases
- Detecting statistical anomalies in daily active users or transaction volumes to identify early-stage protocol adoption.
- Conducting first-pass smart contract security reviews to uncover hidden admin keys, upgradeability risks, and common vulnerability patterns.
- Managing complex DeFi portfolios by tracking real-time liquidation distances, impermanent loss, and reward vesting schedules.
- Evaluating tokenomics to determine if protocol yields are funded by genuine revenue or unsustainable emission schedules.
How Dapp Works
- The agent scans specified blockchain networks, GitHub repositories, and governance forums to identify emerging protocol activity.
- It analyzes on-chain transaction logs to filter out noise, such as wash trading or single-wallet cycling, from genuine user growth.
- Smart contract bytecode and source code are parsed to identify risk parameters, ownership structures, and potential economic attack vectors like flash loan vulnerabilities.
- For portfolio management, it aggregates data across multiple protocols to calculate the net value of positions, accounting for accrued rewards and protocol-specific mechanics.
- The skill generates technical summaries and alerts within the Openclaw Skills environment, allowing for rapid response to market changes.
Dapp Setup
To integrate this capability into your agent environment, you must initialize the Dapp module within Openclaw Skills. Ensure your local environment has access to high-quality RPC nodes for the chains you intend to monitor.
# Install the dapp skill
openclaw install dapp
# Configure monitoring for specific DeFi categories
openclaw config dapp --monitor "dex, lending, yield-aggregators"
# Add public addresses for read-only portfolio tracking
openclaw dapp add-watch-address 0x...
Dapp Data Schema & Taxonomy
The Dapp skill structures its intelligence using a multi-layered schema to ensure data integrity and ease of analysis:
| Object | Property | Description |
|---|---|---|
| ProtocolMetadata | slug, category, chain_id | High-level identification of the decentralized application. |
| SecurityReport | risk_score, admin_keys, upgradeable | A summary of contract-level risks and ownership permissions. |
| MetricSnapshot | v_change, u_change, anomaly_flag | Statistical tracking of volume and user activity deviations. |
| PositionState | il_accrued, liquidation_price, net_apy | Real-time calculation of liquidity and lending health. |
Dapp Advanced Features
- Multi-agent coordination support for simultaneous monitoring of cross-chain liquidity migrations.
- Privacy-preserving query structuring to minimize metadata leakage to public RPC providers.
- Automated alpha discovery hooks that trigger notifications based on GitHub commit frequency and governance proposal sentiment.
- Custom tokenomics modeling to simulate the impact of upcoming token unlocks on market liquidity within Openclaw Skills.
SKILL.md
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