pnsn_phase_detection

pnsn_phase_detection is a Physics, mathematics & simulation skill for AI agents, published by cangyeone in the sage repository on GitHub. Skillspace rates pnsn_phase_detection F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Use this skill for seismic phase picking, earthquake monitoring, Pg/Sg/Pn/Sn detection, P/S arrival picking, continuous waveform scanning, SeismicX-Cont/publish_mini-style HDF5 datasets, pnsn deep-learning pickers, PhaseNet/EQTransformer/RNN/LPPN pickers, picker benchmarking, annotation plotting, and downstream phase association with FastLink, REAL, or GaMMA. Trigger when the user asks to detect phases, pick arrivals, monitor earthquakes, process continuous SAC/MSEED/SEED/HDF5 waveforms, evaluate picker recall/precision, draw labeled waveform panels, associate picks into earthquake events, or autonomously write/debug custom Python picking code with component grouping, preprocessing, TorchScript inference, pick tables, figures, mini-tests, and self-check output.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
35

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
GPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • dynamic code execution (eval/exec)
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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