MathModeling-skills is a collection of Claude Code and Codex skills for mathematical modeling competitions, guiding users through data analysis, method-specific checks, reproducible computations, figures, and paper audits without taking over modeling decisions. It is for contestants who want AI to handle mechanical checks while they retain responsibility for choosing methods and interpreting results. The catalogue entries form the project's skills, instructions, hook, setting, and plugin workflow.
Borrowing it
Nothing to install: this file belongs to zhnnky329/MathModeling-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhnnky329/MathModeling-skills/main/.claude/skills/consistency-auditor/SKILL.mdgit clone --depth 1 https://github.com/zhnnky329/MathModeling-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/consistency-auditor)<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/consistency-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/consistency-auditor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/consistency-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/consistency-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00489 |
| Opus 5.5 | $0.00018 | $0.00196 |
| Sonnet 5.5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
consistency-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Modes
scoped: run only for aCANONICALorFROZENchange and only for affected Qx/identifiers.final: run across all submission artifacts before assembly.
Sources of Truth
Prefer:
frozen_numbers.jsonfor paper numbers;qx_decisions.jsonlfor human judgments;planning/symbol_table.mdfor 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
- Numerical claims match frozen values and units.
- Formula, parameter, constraint, and method roles match approved code and plan.
- Symbols and units match the global symbol table.
- Referenced tables, figures, code, and data files exist.
- Why-this-method, result verdict, stability, confidence, and claim scope resolve to human decision IDs.
- Freeze and decisions are not stale relative to materially changed cited evidence.
Scoped Workflow
- Receive changed files/identifiers and their impact class.
- Resolve affected Qx and downstream consumers.
- Check only those relationships.
- Return a compact digest or save
results/Qx/reports/scoped_consistency.jsonwhen durable evidence is needed. - Do not rewrite other artifacts.
Final Workflow
- Check all submission Qx.
- Save
paper/audits/cross_media_consistency_audit.md. - Report
PASSED,FAILED, orNOT_RUN. - 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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 60 lines · 46 tokens per session scan A 37f7e528822b
consistency-auditor is a skill published in the GitHub repository zhnnky329/MathModeling-skills (1,080 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 489 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
consistency-auditor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| consistency-auditorzhnnky329/MathModeling-skills | Skill | 1.1k | 1mo ago | MIT | A | 46 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |