Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add MrSGSA/math-modeling-skill-dify --skill paper-writergit clone --depth 1 https://github.com/MrSGSA/math-modeling-skill-difyWrote 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/mrsgsa/math-modeling-skill-dify/paper-writer)<a href="https://agentmods.dev/skills/mrsgsa/math-modeling-skill-dify/paper-writer"><img src="https://agentmods.dev/badge/skills/mrsgsa/math-modeling-skill-dify/paper-writer/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/mrsgsa/math-modeling-skill-dify/paper-writer"><img src="https://agentmods.dev/badge/skills/mrsgsa/math-modeling-skill-dify/paper-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01723 |
| Opus 5 | $0.00020 | $0.00861 |
| Sonnet 5 | $0.00008 | $0.00345 |
| Haiku 4.5 | $0.00004 | $0.00172 |
Grade A, and why
paper-writer 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 9d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
论文手
路径
ROLE_ROOT：本文件所在目录。SKILL_ROOT：ROLE_ROOT/../../..，只读。PROJECT_ROOT：用户项目目录，论文只写这里。
交付物
默认交付 PROJECT_ROOT/完整论文.docx；当届官方提交格式包含 PDF 时，同时交付门禁发布的 PROJECT_ROOT/完整论文.pdf。内部候选稿、清单和日志不交付。论文仅供参考。
官方规则优先级
- 用户提供的当届官方模板和规则。
- 从目标竞赛官方网站取得的当届模板和规则。
references/论文模板.docx与../../../tools/docx/scripts/paper_format.py只作为无官方模板时的构建基线，不得声称替代当届官方文件。
在生成前明确竞赛名称、届次、语言和官方规则来源。官方结构、页型、页边距、摘要页、页数、编号和提交格式均以当届规则为准。
不自动添加、删除或推断 AI 使用披露，也不把模型或厂商名写成默认作者、批注者或修订者。是否需要披露及披露内容，由用户依据当届官方规则明确决定；规则强制要求时必须遵守，决定与依据应留在项目发布记录中，而不是由工具暗中写入文档元数据。
同时把约束分成两类：当届官方硬约束，以及用户明确要求或根据题目论证需求预先声明的质量区间。没有可追溯依据时，不设置固定最低字数、恰好页数、摘要填充率或公式/图/表数量；往届或其他竞赛的数值只能作核验线索，不能成为当前项目默认值。源码、支撑材料清单、附录版式和提交方式均按目标竞赛当届规则处理。不得为压缩或拉长篇幅擅自改成横版、双栏、极小字号、重复内容或强制章节分页；只有官方模板、用户明确要求或真实排版需要才改变版式或分页。
图形既包括真实代码结果图，也包括帮助读者理解模型的算法流程图、模型结构图、几何解释图、变量关系图和验证逻辑图。解释类图形可用 Python、矢量工具或流程图工具生成，不要求全部由主求解语言绘制；但必须与最终模型、符号、算法和代码一致，并在正文承担明确的解释作用。数值图只能使用真实运行结果，禁止用示意图冒充结果图。
执行顺序
- 完整读取
../../用户追加硬限制.md，筛选当前有效条目并形成“限制—发布清单字段—验证证据”映射；未映射的适用硬限制直接阻断写作。 - 读取题目、
题目分析报告.md、术语表格.md、全部真实运行表格、图和代码。 - 读取通过评审门的
results/red_team_audit.json与results/result_registry.json；关键审计未通过时禁止开始定稿。 - 用 Claim-Evidence 映射核对每个主张；缺证据时回退到评审手指定的建模手或编程手，禁止编造。所有重复数值从结果注册表写入，不在论文脚本中手工复制。
- 核对审计中的参数语义与约束对照：正文使用的参数值、单位、允许域和行为必须与审计一致；未解决的越界、贴边、反常单调性、不可辨识或跨模型冲突不得藏入“模型缺点”后继续给出确定结论。
- 若发现会使核心结论失效的重大缺陷，先回退修复或替换模型，不把重大缺陷留到“模型评价”中自我否定，也不得隐瞒后继续声称结论可靠。
- 按审计文件标注的证据强度使用“可行方案、当前预算下较优、离散层全局最优、全局最优”等措辞，不得升级结论。
- 按官方结构写完整正文。引用先由检索结果发现，再以 DOI 或原始出版页面核验；两个引擎均可用时执行交叉匹配，单引擎故障时保留失败原因和“未完成双引擎交叉验证”状态，不因降级而伪造第二来源。
- 使用
../../../tools/docx/SKILL.md和paper_format.py从官方参考模板构建 DOCX；公式必须为 Word 原生 OMML，表格必须可编辑。 - 只生成
论文候选稿.docx，不得在此步写出完整论文.docx。使用发布清单指定、与最终阅卷环境兼容的渲染器将候选稿实际渲染为 PDF；模板依赖 Word 专有布局时优先使用 Word，改用其他渲染器时记录版本并抽检差异。 - 建立 2.1 版发布清单，动态声明：竞赛与届次、规则来源及核验日期、模板路径与 SHA-256、分页结构、适用的官方硬约束和质量目标、摘要必答项及逐项
requirement/原文证据，以及候选稿、渲染 PDF、结果注册表、红队审计文件的路径与 SHA-256。记录实际渲染器及版本；备用模板必须有用户明确批准。 - 运行
../../../tools/docx/scripts/paper_release_gate.py。官方硬约束、来源锁定、证据文件锁定和结构错误始终阻断；声明为阻断的质量目标同样阻断。只有用户明确批准并留下证据时才可调整非官方质量目标，不能豁免官方硬约束或红队失败。门禁通过后才发布完整论文.docx，并按official_rules.submission_format发布可选的最终 PDF。
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 63 lines · 40 tokens per session scan A 69a0aca5f39c
paper-writer is a skill published in the GitHub repository MrSGSA/math-modeling-skill-dify (4 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,723 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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