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/result-report-generator/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/result-report-generator)<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/result-report-generator"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/result-report-generator/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/result-report-generator"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/result-report-generator.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 | $0.00574 |
| Opus 5.5 | $0.00016 | $0.00230 |
| Sonnet 5.5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
result-report-generator 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Turn saved experiment artifacts into compact evidence. Do not treat ordinary successful runs as requiring a long report, and do not choose the winning method.
Inputs
run_summary.json- method card and probe summary
- decision ledger
- saved tables, metrics, and figures
- session
rigor_profile
Stop if the run summary claims outputs that do not exist or if main and baseline are not comparable.
Modes
Ordinary lean round
- Validate the run summary and referenced artifacts.
- Return a compact evidence digest in the conversation.
- Do not save a Markdown report unless:
- a fallback trigger fired;
- a material anomaly or contradiction exists;
- the human must make a proceed/adjust/fallback decision.
Decision-point round
Save:
results/Qx/experiments/roundN/qx_decision_report.md
Include only:
- main vs baseline metrics;
- output-degeneracy/concentration evidence;
- assumption or feasibility warnings;
- robustness evidence already available;
- fallback trigger state;
- unresolved trade-offs.
Then invoke decision-prompt-builder. After the human answers, route the answer to modeler-decision-logger.
Final/submission mode
Save:
results/Qx/reports/qx_final_result_analysis.md
Include:
- final main/baseline comparison;
- uncertainty and error;
- concentration/degeneracy interpretation;
- robustness links;
- limitations and applicable scope;
- exact source paths for numerical claims.
Rejection and Fallback
- Archive a method only after a human
result_verdictorfallback_activationdecision. - Move rejected code and outputs to
workspace/archived/<Qx>/<method>_REJECTED_roundN/. - Add one compact history line to
qx_method_card.md; do not create a separate iteration log. - Do not archive from an AI suggestion alone.
Rules
- Do not fabricate metrics, comparisons, or interpretations.
- Separate facts from human verdicts.
- Do not create
result-report-generator_modeler_decision.md. - Do not repeat the full run summary; cite it and extract only decision-relevant evidence.
- Do not call a diagnostic reference a usable baseline.
- Do not generate paper prose.
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 · 86 lines · 40 tokens per session scan A 8c2fe0f78778
result-report-generator 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 574 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.
result-report-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| result-report-generatorzhnnky329/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 |