Nature Skills is a collection of reusable skills that help AI agents handle academic writing and scientific visualization. Researchers and AI-assisted scholars use it to turn research tasks into repeatable workflows and usable outputs. The catalogue entries are skills from this collection.
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 Yuan1z0825/nature-skills --skill nature-proposal-writergit clone --depth 1 https://github.com/Yuan1z0825/nature-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/yuan1z0825/nature-skills/nature-proposal-writer)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-proposal-writer"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-proposal-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/yuan1z0825/nature-skills/nature-proposal-writer"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-proposal-writer.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 | $0.00053 | $0.01912 |
| Opus 5.5 | $0.00021 | $0.00765 |
| Sonnet 5.5 | $0.00011 | $0.00382 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
researchwrite 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 1mo 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
researchwrite — proposal-first 科研写作 pipeline
受 autonovel(状态机+打分)、professor(动态专家)、brainstorming(入口追问)、anti-AI-writing(语言清理)启发的科研写作状态机。不是通用"帮我写论文"prompt。
researchwrite 是为兼容既有安装保留的触发名称,仓库目录名仍为
nature-proposal-writer。不要在没有迁移方案时修改 frontmatter 名称。需要初始化模板、
按条件加载参考资料或执行导出脚本时,先读取 manifest.yaml,只加载与当前条件匹配的路径。
核心原则
- 证据先于文字 — 起草前必须建立或读取
research_canon和evidence_table - 论证先于章节 — 写正文前必须完成
argument_map - 契约先于段落 — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation
- 范围先于完备 — 如果是分阶段写作,先锁定阶段边界
- 动态专家,不设固定池 — 用
professor按失败模式召唤对应专家 - 内容先于语言 — 诊断科学逻辑后再做 anti-slop / 语言打磨
- 不自动升级事实 — 永远不把 "may indicate" 改成 "proves",除非有证据支撑
- 删除胜于解释 — 当某主张不可行,直接删除。正文干净,解释留给答辩
- 该停就停 — 平台期、专家冲突、证据缺失是停止理由,不是润色理由
模式分派
| 输入 | 模式 |
|---|---|
| 题目、方向、模糊想法 | compose — 加载 references/compose-mode.md |
| 已有段落/章节/完整 proposal | revise — 加载 references/revise-mode.md |
| 已有草稿 + 扩写/补写/重构 | hybrid — 加载 references/hybrid-mode.md |
模糊时推断默认模式。只在选择会改变工作流时才问用户。
项目结构
工作目录:<outputs>/researchwrite/<project-slug>/
标准文件:
00_scope.md 写作任务边界
01_research_canon.md 硬事实和约束
02_evidence_table.md claim → evidence 映射表
03_argument_map.md 论证架构
04_section_contracts.md 每节的 purpose / inputs / allowed & forbidden claims
05_style_guide.md 风格、术语、禁用表达
state.json 项目状态(mode、round、scores、technical_debts)
sources/ 用户材料、文献、数据
drafts/ 草稿和分节文件
revision_briefs/ 修订简报
qa_logs/ 诊断、专家审查、anti-slop、打分记录
exports/ 最终输出(.md + .docx)
新建项目时按 manifest.yaml 的 templates.on_demand 路由从 templates/ 取空模板。
references/worked-example-quaternary-proposal.md 提供了基于通用材料科学领域的完整填写示例。
Reference 文件索引
完整 reference 按任务需要加载,不要一次性注入全部文件:
| Reference | 加载时机 |
|---|---|
references/compose-mode.md |
模式 = compose(9 步流程) |
references/revise-mode.md |
模式 = revise(9 步流程) |
references/hybrid-mode.md |
模式 = hybrid |
references/evaluation-rubric.md |
使用 8 维 × 4 锚点评分体系时 |
references/research-anti-slop.md |
清理中文 proposal 的模板化和空泛表达时 |
references/chinese-review-writing-style.md |
撰写或修订中文综述时 |
references/stopping-rules.md |
判断继续迭代、拆分范围或停止时 |
references/professor-dispatch.md |
按失败模式分派动态专家时 |
references/foundation-files.md |
建立或修复 foundation 五文件时 |
references/project-structure.md |
初始化项目目录或维护 state.json 时 |
references/export-archive.md |
导出和归档 .md / .docx 时 |
references/partial-proposal-scope.md |
分阶段写作并防止范围蔓延时 |
references/ref-renumbering-cascade.md |
处理参考文献增删和编号级联时 |
references/review-paper-framework.md |
设计综述论文框架时 |
references/review-critique-methodology.md |
建立综述的批判性分析时 |
references/validation-checklist.md |
自动检查主张、引用、编号和可复现性时 |
references/gpt-handoff-revision-brief.md |
生成跨 agent 修订交接简报时 |
references/within-approved-proposal.md |
在已批准的 proposal 框架内扩写时 |
references/worked-example-quaternary-proposal.md |
需要查看完整 foundation 文件填写示例时 |
references/降承诺提案模式.md |
证据不足,需要降低承诺强度时 |
What ships with it
35 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.
- agents/openai.yaml 254 B
- manifest.yaml 4.5 KB
- README_EN.md 2.9 KB
- README.md 2.6 KB
- references/chinese-review-writing-style.md 4.3 KB
- references/compose-mode.md 11 KB
- references/evaluation-rubric.md 6.4 KB
- references/export-archive.md 1.7 KB
- references/foundation-files.md 1.1 KB
- references/gpt-handoff-revision-brief.md 1.4 KB
- references/hybrid-mode.md 560 B
- references/partial-proposal-scope.md 1.6 KB
- references/professor-dispatch.md 5.6 KB
- references/project-structure.md 870 B
- references/ref-renumbering-cascade.md 1.7 KB
- references/research-anti-slop.md 1.1 KB
- references/review-critique-methodology.md 8.1 KB
- references/review-paper-framework.md 7.9 KB
- references/revise-mode.md 8.7 KB
- references/stopping-rules.md 497 B
- references/validation-checklist.md 1.7 KB
- references/within-approved-proposal.md 4.8 KB
- references/worked-example-quaternary-proposal.md 3.5 KB
- references/降承诺提案模式.md 2.2 KB
- scripts/build_proposal_docx.py 7.1 KB runs code
- templates/00_scope.md 339 B
- templates/01_research_canon.md 192 B
- templates/02_evidence_table.md 200 B
- templates/03_argument_map.md 389 B
- templates/04_section_contracts.md 140 B
- templates/05_style_guide.md 226 B
- templates/qa_report.md 344 B
- templates/revision_brief.md 190 B
- tests/test_source_preservation.py 1.8 KB runs code
- tests/test_table_delimiters.py 1.4 KB runs code
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.
- 1mo ago Changed · -1 lines · -34 tokens per session 9be8ae52f909
- 1mo ago First seen · 153 lines · 87 tokens per session scan A aed7568f8e9f
researchwrite is a skill published in the GitHub repository Yuan1z0825/nature-skills (50,803 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,912 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.
Other skills, from other repositories
literature-searcher
Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper, classify papers, or analyze literature gaps.
matlab-orchestrator
MATLAB agentic workflow router. Use this whenever the user asks for MATLAB, Simulink, .m/.mlx/.slx work, toolbox-driven engineering, paper reproduction, simulation, code generation, data analysis, control, robotics, signal/image/AI workflows, or wants an end-to-end automated MATLAB task with validation. For Simulink…
matlab-runner
Run MATLAB tasks from Codex with reliable MCP-based execution, logs, artifacts, toolbox inventory, smoke tests, and reproducible validation. Use whenever MATLAB code, .m/.mlx scripts, MATLAB tests, local toolbox probing, or command-line automation is needed.
matlab-simulink-modeling
MATLAB and Simulink workflow for creating, inspecting, modifying, simulating, validating, and exporting .slx models. Use for Simulink, Stateflow, Simscape, model-based design, parameter sweeps, signal logging, requirements, and simulation automation. On this machine, Simulink tasks should be visual-first: open the…
manim-animator
Create code-driven explanatory animations and precise vector graphics with Manim, optionally using SandBase for generated images, narration, music, or transcription. Use for mathematical, scientific, algorithmic, or diagrammatic animation; use a video-generation workflow for photoreal footage.
matlab-robotics-autonomy
MATLAB robotics and autonomy workflow for ROS Toolbox, Robotics System Toolbox, Navigation Toolbox, UAV Toolbox, sensor fusion, trajectory planning, simulation, and reproducible robot experiments. Use for ROS/ROS 2 bags, robot models, path planning, SLAM, state estimation, and autonomy prototyping.