evo-seismic-phase-picking
SkillAI & modelsRuns SeisBench deep learning models (PhaseNet/EQTransformer) on grouped station waveforms to produce P and S phase picks with timestamps and probabilities.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the evo-seismic-phase-picking skill
What this skill tells your AI
The instructions your AI receives, as published by openlair/openskill in tasks-evolved/earthquake-phase-association/environment/skills/evo-seismic-phase-picking/SKILL.md and read by ahel’s review.
Uses SeisBench PhaseNet/EQTransformer for P/S wave picking.
Functions
load_picker_model(model_name, weights)- Load pretrained SeisBench modelpick_phases_for_stream(model, stream_3c, p_threshold, s_threshold)- Pick one stationpick_all_stations(model, station_streams, p_threshold, s_threshold)- Pick all stationspicks_to_dataframe(picks_list)- Convert picks to DataFrame with unix_time column
Usage
Note: Since all skills have utils.py, use importlib to avoid name collisions:
import importlib.util
def load_module(name, path):
spec = importlib.util.spec_from_file_location(name, path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
pick_utils = load_module('pick_utils', '/app/environment/skills/evo-seismic-phase-picking/scripts/utils.py')
model = pick_utils.load_picker_model("PhaseNet", "stead")
all_picks = pick_utils.pick_all_stations(model, station_streams, p_threshold=0.3, s_threshold=0.3)
picks_df = pick_utils.picks_to_dataframe(all_picks)
Signals
- GitHub stars
- 89
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
evo-seismic-phase-picking- Source
- github.com/openlair/openskill