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Thesis computational evidence

Skill lihongqing2001-gif/chinese-thesis-production-skills/skills/thesis-computational-evidence

Evidence-first Codex skills for guided Chinese STEM thesis production

Install
npx -y skills add lihongqing2001-gif/chinese-thesis-production-skills --skill thesis-computational-evidence

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What its author says it does

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Plan, execute, audit, and write CFD or molecular-dynamics evidence for a STEM thesis. Use when defining geometry, materials, porous parameters, heating or puffing profiles, species/source terms, meshes, solver settings, convergence, conservation, validation, post-processing, figure sets, or deciding whether simulation results can support a thesis conclusion.

SKILL.md

2.6 KB, as published. Nobody here has run it

Thesis Computational Evidence

Treat simulation as an experiment with a complete provenance chain.

Required workflow

  1. Define the scientific question and the comparison cases.
  2. Create model_manifest.json before running the solver.
  3. Source geometry, material properties, boundary conditions, and time profiles.
  4. State governing equations, assumptions, and enabled physics.
  5. Build and report mesh quality and grid-independence cases.
  6. Define solver settings, residual targets, physical monitors, and stop criteria.
  7. Run actual cases and preserve native projects, journals/scripts, logs, and exports.
  8. Check mass/energy/species conservation.
  9. Calibrate or validate against independent experimental data.
  10. Export reproducible quantitative monitors and publication figures.
  11. Write only conclusions allowed by the validation state.

Read references/model-evidence-policy.md before interpreting results and references/cfd-md-checklist.md before production runs.

Non-negotiable boundaries

  • Do not describe a planned or remotely launched case as completed.
  • Do not claim water/glycerol transport unless the relevant species model and source terms were enabled.
  • Do not use a mesh-cell-count threshold as proof of adequacy; use quality and independence tests.
  • Do not infer porous resistance from unrelated materials without labeling the assumption and sensitivity.
  • Do not claim an interface or molecular mechanism from continuum CFD alone.
  • Do not use MD snapshots as quantitative release kinetics without a documented scale bridge.
  • Do not replace missing validation with literature similarity.

Thesis writing levels

  • planned: methods and required data only.
  • exploratory: trends/sensitivity with assumptions disclosed.
  • validated: quantitative comparison supported by independence, conservation, and experiment.

Only validated cases may support quantitative predictive conclusions.

Tool

python scripts/audit_model_manifest.py simulations/model_manifest.json \
  --project-root . --strict --report reports/model-audit.json

Route exported plot/readability checks to thesis-figure-table-audit and DOCX integration to thesis-docx-production.

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