zhnnky329/mathmodeling-skills/consistency-auditor

Claude Code and agent skill by zhnnky329/mathmodeling-skills

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Run scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper claims without performing full-workspace audits for low-risk changes.

Install

npx vskill@latest install zhnnky329/mathmodeling-skills/consistency-auditor

SKILL.md

Modes

  • scoped: run only for a CANONICAL or FROZEN change and only for affected Qx/identifiers.
  • final: run across all submission artifacts before assembly.

Sources of Truth

Prefer:

  • frozen_numbers.json for paper numbers;
  • qx_decisions.jsonl for human judgments;
  • planning/symbol_table.md for symbols/units;
  • approved code plan and run summary for parameters and executed methods;
  • solution package for writer-facing structure.

Use legacy decision logs or Markdown reviews only during migration.

Checks

  1. Numerical claims match frozen values and units.
  2. Formula, parameter, constraint, and method roles match approved code and plan.
  3. Symbols and units match the global symbol table.
  4. Referenced tables, figures, code, and data files exist.
  5. Why-this-method, result verdict, stability, confidence, and claim scope resolve to human decision IDs.
  6. Freeze and decisions are not stale relative to materially changed cited evidence.

Scoped Workflow

  1. Receive changed files/identifiers and their impact class.
  2. Resolve affected Qx and downstream consumers.
  3. Check only those relationships.
  4. Return a compact digest or save results/Qx/reports/scoped_consistency.json when durable evidence is needed.
  5. Do not rewrite other artifacts.

Final Workflow

  1. Check all submission Qx.
  2. Save paper/audits/cross_media_consistency_audit.md.
  3. Report PASSED, FAILED, or NOT_RUN.
  4. List concrete divergences and repair owners. Do not pad a pass list.

Rules

  • Do not run a full audit for formatting, comments, scratch work, or ordinary pre-freeze exploration.
  • Do not infer canonical numbers from the paper.
  • Do not repair divergences inside the audit.
  • Do not approve final assembly directly.

Verification

  • Scope matches the semantic impact.
  • Every divergence identifies source, consumer, and expected repair.
  • Final audit covers all six check classes.
  • Verdict follows actual evidence rather than an item count.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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

Source

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