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OpenSETI

Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers a...

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High Signal

Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers a...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/openseti.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

OpenSETI Distributed Scanner

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.

Quick Start

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

How It Works

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

Analysis Criteria

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

Reward Structure

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.

Commands

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

Requirements

Python 3.8+ NumPy and SciPy (pip install numpy scipy requests)

Data Source

All data comes from the Breakthrough Listen Open Data Archive: https://breakthroughinitiatives.org/opendatasearch Observations from the Green Bank Telescope and Parkes Observatory.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/openseti.py Scripts