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Repository instructions

This repository contains the mathmodel-skill product. When working inside this repository, act as a maintainer: do not start the ten-stage contest workflow merely because modeling-related files are present.

Sources of truth

  • SKILL.md defines runtime behavior and trigger boundaries.
  • references/stage_00_kickoff.md through references/stage_09_review.md contain stage details and must be loaded lazily at runtime.
  • competitions/<competition>/ contains competition-specific rules, heuristics, overlays, and paper structures.
  • templates/shared/decision_log.json is the canonical persistent-state template.
  • .codex-plugin/plugin.json, agents/openai.yaml, and skills/mathmodel-skill/SKILL.md are packaging metadata or thin discovery shims. Do not duplicate the workflow into them.

Maintenance rules

  • Preserve the trigger boundary: this skill is for CUMCM, MCM/ICM, and Diangong Cup contest work, not generic data analysis or ordinary paper review.
  • Treat official contest rules as time-sensitive. Keep a verification date and primary source in competitions/<competition>/current_rules.md; official current-year material always overrides repository guidance.
  • Treat empirical distributions and winning_patterns.md as observations or maintainer heuristics, never official thresholds or award predictors.
  • Keep user artifacts relative to the user's working directory (state/, results/, figures/, paper_workspace/, paper_output/). Resolve repository resources relative to the installed skill root.
  • Keep SKILL.md concise and dispatch stage-specific detail into references/.
  • Do not add runtime claims about awards, token savings, or elapsed time without a reproducible benchmark.
  • When changing behavior, update the README, tests, plugin version, state schema, and relevant competition docs together.
  • Do not vendor or reintroduce templates, examples, papers, or binary assets without a clear redistribution license. Keep runtime dependencies and external-source boundaries accurate in THIRD_PARTY_NOTICES.md.

Verification

Run the checks proportionate to the change. Before a release, run all of them:

python -m compileall -q scripts templates/shared/code_starter
python -m unittest discover -s tests -p 'test_*.py' -v
python scripts/doctor.py --competition cumcm --skip-tools
python scripts/doctor.py --competition mcm --skip-tools
python scripts/doctor.py --competition diangong --skip-tools
git diff --check

Maintainers with the Codex skill/plugin creator tooling installed should also run its current quick_validate.py and validate_plugin.py entrypoints. Do not hard-code a machine-specific installation path into contributor commands.

Runtime evaluation prompts should explicitly invoke $mathmodel-skill. Negative-trigger tests should confirm that generic model-selection and non-competition writing requests do not invoke it.