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/problem-parser/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/problem-parser)<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/problem-parser"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/problem-parser/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/problem-parser"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/problem-parser.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 | $0.00040 | $0.00562 |
| Opus 5.5 | $0.00016 | $0.00225 |
| Sonnet 5.5 | $0.00008 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
problem-parser 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Produce a model-neutral problem contract. Do not start from favorite algorithms or infer missing attachments.
Inputs
- complete problem statement and attachments list;
- contest rules and required deliverables;
- user clarifications;
- existing parse when revising.
Workflow
- Record source files and missing referenced material.
- Extract the global objective and each Qx verbatim enough to preserve intent.
- For each Qx identify:
- goal;
- objects/entities;
- inputs and data;
- decisions or unknowns;
- hard and soft constraints;
- required output and format;
- evaluation/success criteria;
- dependencies on other Qx;
- uncertainty and ambiguity.
- Separate:
- statement facts;
- observations from supplied data;
- proposed relationships;
- assumptions requiring human judgment.
- If output form or success criteria are materially ambiguous, invoke one choice card. Do not choose the framing silently.
- Save:
planning/parse/problem_parse.json- an optional concise
planning/parse/problem_parse.mdonly when a human-readable view is useful.
- Update the manifest status when present.
JSON Contract
{
"schema_version": 1,
"problem_source": [],
"global_goal": "",
"objects": [],
"data_inventory": [],
"global_constraints": [],
"subquestions": [
{
"id": "Q1",
"statement": "",
"goal": "",
"inputs": [],
"unknowns_or_decisions": [],
"constraints": [],
"required_outputs": [],
"success_criteria": [],
"dependencies": [],
"proposed_relationships": [],
"ambiguities": []
}
],
"missing_material": [],
"human_decisions_needed": []
}
Rules
- Parse before classifying.
- Do not name or recommend methods.
- Do not fabricate data, fields, equations, causal relationships, or evaluation criteria.
- Preserve units, time ranges, populations, and output formats.
- A proposed relationship must be labeled as proposed until human-confirmed or evidence-supported.
- Ask only about ambiguities that change the downstream problem.
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 · 88 lines · 40 tokens per session scan A 08b2ebc5e199
problem-parser is a skill published in the GitHub repository zhnnky329/MathModeling-skills (1,080 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 562 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.
problem-parser compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| problem-parserzhnnky329/MathModeling-skills | Skill | 1.1k | 1mo ago | MIT | A | 40 | 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 |