zhnnky329/mathmodeling-skills/solution-package-builder

Claude Code and agent skill by zhnnky329/mathmodeling-skills

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Assemble a submission-ready writer package from final method, result, robustness, figure, and human-decision artifacts, then freeze approved numerical claims with provenance.

Install

npx vskill@latest install zhnnky329/mathmodeling-skills/solution-package-builder

SKILL.md

The same SKILL.md was published earlier as mrhaozzzz/skills/solution-package-builder.

Purpose

Create the writer's single source package and immutable numerical snapshot. Do not manufacture missing judgments or freeze unapproved claims.

Preconditions

  • rigor_profile is submission.
  • Final method explanation, final result analysis, robustness report, and figure plan exist.
  • Human method, result, stability, and claim-scope decisions exist in qx_decisions.jsonl.
  • Canonical sources are current.

Workflow

  1. Collect final method structure, result claims, limitations, figures, tables, and decision provenance.
  2. Draft results/Qx/reports/qx_solution_package_for_writer.md.
  3. Flag every proposed top-line claim with:
  • value and unit;
  • canonical source path and location;
  • robustness support;
  • decision ID for claim scope or rationale;
  • confidence/limitation.
  1. Invoke one final choice card when package sign-off is missing:
  • keep;
  • downgrade;
  • drop.
  1. Route the human answer to modeler-decision-logger as package_signoff.
  2. Only after sign-off, generate results/Qx/reports/frozen_numbers.json.
  3. Verify every numerical package claim resolves to the freeze and every judgment claim resolves to a human decision ID.

Frozen Number Contract

Each entry contains:

json
{
"claim_id": "q1_main_rmse",
"value": 2.4,
"unit": "units",
"source_file": "results/Q1/experiments/final/metrics/main.json",
"source_locator": "$.rmse",
"frozen_at": "ISO-8601",
"frozen_by_skill": "solution-package-builder",
"decision_id": "q1_package_signoff"
}

Use a source line only for stable text files; use a JSON path, table key, or row/column identifier for structured data.

Rules

  • Do not create solution-package-builder_modeler_decision.md.
  • Do not emit frozen_numbers.json before human package sign-off.
  • Never edit an existing freeze by hand.
  • Transcribe human rationales; do not re-compose them as stronger claims.
  • The package may cite the compact method-card history but must not depend on a separate iteration log.
  • Do not copy raw exploratory outputs into the package without final validation.

Change and Re-freeze

When a canonical source changes after freeze:

  1. append the reason to freeze_change_log.md;
  2. update and rerun the canonical source;
  3. obtain renewed human judgment when the evidence changed materially;
  4. regenerate the freeze;
  5. run scoped consistency for Qx.

Verification

  • All prerequisites are final and current.
  • Package sign-off exists in the JSONL ledger.
  • Every frozen value has a real canonical source and stable locator.
  • Every package number matches the freeze.
  • Every modeling judgment traces to a human decision.
  • Writer can use the package without searching scattered results.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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