OpenSETI is a distributed computing skill that allows users to scan real radio telescope data for extraterrestrial signals and earn token rewards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openseti-skill
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 openseti-skill 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 OpenSETI Distributed Scanner?
OpenSETI is a sophisticated tool designed for the search for extraterrestrial intelligence (SETI) by leveraging distributed computing. By integrating this capability into Openclaw Skills, developers and researchers can contribute idle compute power to analyze massive datasets from the Breakthrough Listen Open Data Archive. The skill utilizes advanced signal processing techniques to identify anomalies that may indicate non-terrestrial origins.
Drawing inspiration from the legacy of SETI@home, this project modernizes the approach by utilizing on-chain token rewards and real-time processing of data from the Green Bank Telescope and Parkes Observatory. It provides a unique opportunity for users of Openclaw Skills to participate in high-level scientific research while being incentivized for their hardware contributions.
OpenSETI Distributed Scanner Use Cases
- Contributing compute resources to global SETI research projects.
- Identifying narrowband signals and Doppler-shifted patterns in radio telescope data.
- Earning tokenized rewards for discovering scientifically significant anomalies.
- Deploying background signal processing nodes on home servers or cloud instances.
How OpenSETI Distributed Scanner Works
- The user registers a Solana wallet address to track contributions and receive potential rewards.
- The skill requests a work unit consisting of a ~1MB chunk of raw radio telescope data from the OpenSETI network.
- Your local machine performs a Fast Fourier Transform (FFT) and signal processing to analyze the data chunk.
- Results are categorized based on Signal-to-Noise Ratio (SNR), bandwidth, and interference patterns.
- Analysis results are submitted back to the network for validation and on-chain reward distribution.
OpenSETI Distributed Scanner Setup
To get started, ensure you have Python 3.8 or higher installed. First, install the necessary dependencies:
pip install numpy scipy requests
Next, register your Solana wallet to begin tracking your contributions to Openclaw Skills:
python scripts/openseti.py register <your-wallet-address>
To run your first scan cycle, use:
python scripts/openseti.py scan
OpenSETI Distributed Scanner Data Schema & Taxonomy
The OpenSETI skill organizes data through a structured reward and classification system:
| Classification | Score Threshold | Token Reward |
|---|---|---|
| NATURAL | 0.0 - 0.15 | 0 |
| WEAK_SIGNAL | 0.15 - 0.4 | 0 |
| INVESTIGATING | 0.4 - 0.7 | 2,500 |
| ANOMALY_FLAGGED | 0.7+ | 5,000 |
All data units are approximately 1MB and sourced from the Breakthrough Listen Open Data Archive, including observations from the Green Bank Telescope and Parkes Observatory.
OpenSETI Distributed Scanner Advanced Features
- Continuous scanning mode for persistent, non-interactive signal analysis.
- Real-time performance tracking via the stats command.
- Competitive contribution tracking through a global community leaderboard.
- Automated anomaly detection using narrow-band signal identification and Doppler drift analysis.
SKILL.md
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