How do I install the Openseti skill?

Run npx skillmds@latest add dvcrn/openseti in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Openseti safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Openseti?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Openseti free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Openseti?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Openseti by dvcrn — Agent Skill

Name: Openseti
Rating: 4.2 (5 reviews)
Author: dvcrn

Openseti

Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers anomalies. Use when setting up distributed alien signal detection, running SETI scans, or contributing to the OpenSETI network.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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

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

Classification	Score	Tokens
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

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.

---name: opensetidescription: Distributed SETI scanner - contribute compute power to analyze real radio telescope data from Breakthrough Listen. Earn tokens when your analysis discovers anomalies. Use when setting up distributed alien signal detection, running SETI scans, or contributing to the OpenSETI network.---# OpenSETI Distributed ScannerContribute 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 Start1. Register your Solana wallet:```bashpython scripts/openseti.py register <your-wallet-address>```2. Run a scan:```bashpython scripts/openseti.py scan```3. Run continuous scanning (background):```bashpython scripts/openseti.py scan --continuous```## How It Works1. Your machine requests a work unit from the OpenSETI network2. Work units contain real radio telescope data chunks (~1MB each)3. Your machine analyzes the data using FFT and signal processing4. Results are submitted back to the network5. If an anomaly is detected, you earn tokens## Analysis CriteriaThe 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| Classification | Score | Tokens ||---------------|-------|--------|| 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 |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 SourceAll data comes from the Breakthrough Listen Open Data Archive:https://breakthroughinitiatives.org/opendatasearchObservations from the Green Bank Telescope and Parkes Observatory.

Frequently asked questions