Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers a...
Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers a...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Contribute your compute power to scan real Breakthrough Listen radio telescope data for signs of extraterrestrial intelligence. This is a SETI@home-style distributed computing project with token rewards.
Register your Solana wallet: python scripts/openseti.py register <your-wallet-address> Run a scan: python scripts/openseti.py scan Run continuous scanning (background): python scripts/openseti.py scan --continuous
Your machine requests a work unit from the OpenSETI network Work units contain real radio telescope data chunks (~1MB each) Your machine analyzes the data using FFT and signal processing Results are submitted back to the network If an anomaly is detected, you earn tokens
The scanner looks for signals that match ETI signatures: Narrowband signals (< 10 Hz bandwidth) - Natural sources are broadband Doppler drift - Frequency shift indicating non-terrestrial origin High SNR - Strong signals above noise floor Hydrogen line proximity - 1420.405 MHz is the "water hole" Non-RFI patterns - Doesn't match known Earth interference
ClassificationScoreTokensNATURAL0.0 - 0.150WEAK_SIGNAL0.15 - 0.40INVESTIGATING0.4 - 0.72,500ANOMALY_FLAGGED0.7+5,000 Tokens are tracked on-chain and distributed when the token launches.
openseti register <wallet> - Register your Solana wallet openseti scan - Run one scan cycle openseti scan --continuous - Run continuous scanning openseti stats - Show your contribution stats openseti leaderboard - Show top contributors
Python 3.8+ NumPy and SciPy (pip install numpy scipy requests)
All data comes from the Breakthrough Listen Open Data Archive: https://breakthroughinitiatives.org/opendatasearch Observations from the Green Bank Telescope and Parkes Observatory.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.