A secure multi-signature transaction manager for DeFi protocols and DAO governance across EVM-compatible chains.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multisig-executor
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 multisig-executor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Multisig Executor is a robust technical tool designed to streamline the lifecycle of multi-signature transactions within the decentralized finance and DAO ecosystems. As a core component of the Openclaw Skills library, it enables developers and organizations to propose, validate, and execute complex on-chain actions requiring collective approval. By integrating this skill, users can automate the management of shared treasury funds and governance votes with high security and transparency.
This skill abstracts the complexities of interacting with EVM smart contracts, allowing for seamless integration with leading hardware and software wallets. Whether you are managing a protocol upgrade or a community-driven treasury, Multisig Executor provides the necessary infrastructure to ensure transactions meet strict threshold requirements before reaching the blockchain. It offers a developer-friendly interface to handle everything from initial proposal creation to final execution confirmation.
To integrate this skill within the Openclaw Skills framework, you must configure your environment with a SkillPay API key to handle the per-call transaction fees.
# Set the required environment variable for SkillPay
export SKILLPAY_API_KEY="your_api_key_here"
Ensure your agent has access to an EVM-compatible node provider to interact with the supported blockchain networks.
The skill manages transaction data using a structured JSON schema to ensure compatibility across different DAO frameworks. Below is the metadata taxonomy:
| Field | Type | Description |
|---|---|---|
| action | String | The specific operation to perform (e.g., create, sign, execute) |
| to | String | The destination contract or wallet address |
| signers | Array | A list of authorized Ethereum addresses for the multisig |
| threshold | Integer | The minimum number of signatures required for execution |
| txHash | String | The resulting transaction hash on the blockchain |
| status | String | Current lifecycle state (e.g., pending, executed, failed) |
Loading
A professional-grade interface for executing machine learning model inference and receiving instant, data-driven predictions.

An automated training pipeline for machine learning models that handles everything from hyperparameter tuning to model export via API.

A comprehensive tool for calculating and visualizing machine learning performance metrics including accuracy, F1-score, and RMSE.

An automated AI agent skill that identifies and selects the most relevant features in a dataset to streamline model training and improve interpretability.

A high-performance news retrieval tool designed to feed real-time, structured data into AI agents and RAG pipelines.

A real-time news monitoring tool that triggers automated alerts based on specific keywords and global data sources.








































