protostar-climate / code /AGENTS.md
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Instructions for AI agents

This repository is a submission to the Protostar Challenge: Climate Risk Intelligence. Follow these rules in every task.

Data rule (never break it)

  • Forecasts are made as of 2018-12-31. Weather data used as a forecast input must be dated on or before 2018-12-31.
  • Do not download, query or use weather observations dated 2019-01-01 or later, from any source (e.g., NOAA, Meteostat, Open-Meteo, ERA5, weather websites), nor 2019–2025 data driven by the weather (e.g., streamflow, air quality, energy demand).
  • Set an end date of 2018-12-31 or earlier on every weather download.
  • Never write predicted_value from memory or from a web search: every value must come from the code's model.
  • If a task seems to need weather data after 2018, stop and ask a team member.
  • Data that does not respond to the weather (e.g., census, land cover, elevation) may come from any year; record its source in data/README.md.

Working rules

  • Training data: CMU-OSPO/protostar-climate-train-to-2018 (Hugging Face).
  • Code goes in code/, curated data in data/ (described in data/README.md).
  • After changing submission.csv, run python code/check_submission.py.
  • The code must reproduce submission.csv without an agent (scripts or notebooks that run top to bottom).
  • Never write tokens or credentials into any file.
  • Summarize what you did in the README's "AI Tools and Agents" section.

Team notes