Creator · Yuan1z0825
Last updated · Sep 2, 2026
Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientif
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientif
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientif
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientif
Review then install
Install targets
Codex install prompt
Install the "researchwrite" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-proposal-writer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-researchwrite","task":"Install researchwrite","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
39K
93/100 Quality · 88/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
5d since push
License
MIT
Install
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill researchwriteDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-researchwrite/install
Agent should check
Copy prompt
Task: Use researchwrite in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install
Install command: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-researchwrite/install
LLM text format
/api/skills/yuan1z0825-researchwrite/install?format=text
Find alternatives
/api/skills/search?q=researchwrite&limit=3
Agent prompt
Use researchwrite for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install, then install with: npx skills add Yuan1z0825/nature-skills --skill researchwriteRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-researchwrite
LLM text
/api/registry/manifest/yuan1z0825-researchwrite?format=text
Install alias
/api/registry/install/yuan1z0825-researchwrite
Recommend
/api/registry/recommend?task=Use%20researchwrite%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
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--- name: researchwrite description: | Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. license: MIT metadata: hermes: tags: [research, writing, proposal, revision, qa, multi-agent] related_skills: [brainstorming, professor, avoid-ai-writing, docx] ---
# 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
1. **证据先于文字** — 起草前必须建立或读取 `research_canon` 和 `evidence_table` 2. **论证先于章节** — 写正文前必须完成 `argument_map` 3. **契约先于段落** — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation 4. **范围先于完备** — 如果是分阶段写作,先锁定阶段边界 5. **动态专家,不设固定池** — 用 `professor` 按失败模式召唤对应专家 6. **内容先于语言** — 诊断科学逻辑后再做 anti-slop / 语言打磨 7. **不自动升级事实** — 永远不把 "may indicate" 改成 "proves",除非有证据支撑 8. **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 9. **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 |
## 运行交付
每次运行结束时输出:
1. 当前文件路径或修订后文本 2. 当前分数/状态 3. 剩余风险 4. 一条建议的下一步
## QA Mode — 四层质量保障 Pipeline
当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。
### 情境挡位
| 挡位 | 适用场景 | 阈值 | |------|---------|------| | `paper` | 投稿论文 | 7.0 | | `proposal` | 研究方案/开题 | 7.0 | | `internal` | 内部汇报/周报 | 5.0 | | `quick` | 快速扫读 | 无 |
### Pipeline 顺序(先内容后语言)
``` Gate 2: professor Convener(内容层) ├── 论文 → 方法论专家 + 领域专家 ├── proposal → 可行性专家 + 创新性专家 └── 文献综述 → 覆盖面专家 + 批判深度专家 │ ▼ Gate 1: avoid-ai-writing 模式 detect-only └── 只对英文有效,中文跳过或降级为手工扫读 │ ▼ Gate 3: auto-validation(格式/完整性层) └── 每个 claim 有 citation?方法可复现?编号连续? │ ▼ Gate 4: 评分阈值(分维度打分) ├── 总分≥阈值 → 通过 ✅ └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮) ```
**Gate 2 在 Gate 1 之前** — 避免改了句子后被专家打回重写。
### 使用方法
``` 用户: "用 researchwrite 审查这段 discussion,paper 挡位" → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4 → 返回审查报告 + 定向修改建议
用户: "快速扫一下这个邮件" → 走 quick 挡位,只标记 P0 问题 ```
## 配置你的研究域
首次使用告诉 agent 你的研究背景,agent 会调用 `professor` 建立领域专家知识。后续写作中专家审查会基于你的领域。
Source provenance
Decision snapshot
38,703 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for researchwrite, ready for a manual X post.
researchwrite: Proposal-first scientific writing pipeline, installed under the compatibility trigger researc... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x
Listing + install path for researchwrite: https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Install targets
Codex install prompt
Install the "researchwrite" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-proposal-writer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-researchwrite","task":"Install researchwrite","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
39K
93/100 Quality · 88/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
5d since push
License
MIT
Install
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill researchwriteDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-researchwrite/install
Agent should check
Copy prompt
Task: Use researchwrite in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install
Install command: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-researchwrite/install
LLM text format
/api/skills/yuan1z0825-researchwrite/install?format=text
Find alternatives
/api/skills/search?q=researchwrite&limit=3
Agent prompt
Use researchwrite for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install, then install with: npx skills add Yuan1z0825/nature-skills --skill researchwriteRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-researchwrite
LLM text
/api/registry/manifest/yuan1z0825-researchwrite?format=text
Install alias
/api/registry/install/yuan1z0825-researchwrite
Recommend
/api/registry/recommend?task=Use%20researchwrite%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: researchwrite description: | Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. license: MIT metadata: hermes: tags: [research, writing, proposal, revision, qa, multi-agent] related_skills: [brainstorming, professor, avoid-ai-writing, docx] ---
# 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
1. **证据先于文字** — 起草前必须建立或读取 `research_canon` 和 `evidence_table` 2. **论证先于章节** — 写正文前必须完成 `argument_map` 3. **契约先于段落** — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation 4. **范围先于完备** — 如果是分阶段写作,先锁定阶段边界 5. **动态专家,不设固定池** — 用 `professor` 按失败模式召唤对应专家 6. **内容先于语言** — 诊断科学逻辑后再做 anti-slop / 语言打磨 7. **不自动升级事实** — 永远不把 "may indicate" 改成 "proves",除非有证据支撑 8. **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 9. **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 |
## 运行交付
每次运行结束时输出:
1. 当前文件路径或修订后文本 2. 当前分数/状态 3. 剩余风险 4. 一条建议的下一步
## QA Mode — 四层质量保障 Pipeline
当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。
### 情境挡位
| 挡位 | 适用场景 | 阈值 | |------|---------|------| | `paper` | 投稿论文 | 7.0 | | `proposal` | 研究方案/开题 | 7.0 | | `internal` | 内部汇报/周报 | 5.0 | | `quick` | 快速扫读 | 无 |
### Pipeline 顺序(先内容后语言)
``` Gate 2: professor Convener(内容层) ├── 论文 → 方法论专家 + 领域专家 ├── proposal → 可行性专家 + 创新性专家 └── 文献综述 → 覆盖面专家 + 批判深度专家 │ ▼ Gate 1: avoid-ai-writing 模式 detect-only └── 只对英文有效,中文跳过或降级为手工扫读 │ ▼ Gate 3: auto-validation(格式/完整性层) └── 每个 claim 有 citation?方法可复现?编号连续? │ ▼ Gate 4: 评分阈值(分维度打分) ├── 总分≥阈值 → 通过 ✅ └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮) ```
**Gate 2 在 Gate 1 之前** — 避免改了句子后被专家打回重写。
### 使用方法
``` 用户: "用 researchwrite 审查这段 discussion,paper 挡位" → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4 → 返回审查报告 + 定向修改建议
用户: "快速扫一下这个邮件" → 走 quick 挡位,只标记 P0 问题 ```
## 配置你的研究域
首次使用告诉 agent 你的研究背景,agent 会调用 `professor` 建立领域专家知识。后续写作中专家审查会基于你的领域。
Source provenance
Decision snapshot
38,703 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for researchwrite, ready for a manual X post.
researchwrite: Proposal-first scientific writing pipeline, installed under the compatibility trigger researc... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x
Listing + install path for researchwrite: https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill researchwrite
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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "researchwrite" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-proposal-writer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-researchwrite","task":"Install researchwrite","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
39K
93/100 Quality · 88/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
5d since push
License
MIT
Install
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill researchwriteDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-researchwrite/install
Agent should check
Copy prompt
Task: Use researchwrite in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install
Install command: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-researchwrite/install
LLM text format
/api/skills/yuan1z0825-researchwrite/install?format=text
Find alternatives
/api/skills/search?q=researchwrite&limit=3
Agent prompt
Use researchwrite for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install, then install with: npx skills add Yuan1z0825/nature-skills --skill researchwriteRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-researchwrite
LLM text
/api/registry/manifest/yuan1z0825-researchwrite?format=text
Install alias
/api/registry/install/yuan1z0825-researchwrite
Recommend
/api/registry/recommend?task=Use%20researchwrite%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: researchwrite description: | Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. license: MIT metadata: hermes: tags: [research, writing, proposal, revision, qa, multi-agent] related_skills: [brainstorming, professor, avoid-ai-writing, docx] ---
# 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
1. **证据先于文字** — 起草前必须建立或读取 `research_canon` 和 `evidence_table` 2. **论证先于章节** — 写正文前必须完成 `argument_map` 3. **契约先于段落** — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation 4. **范围先于完备** — 如果是分阶段写作,先锁定阶段边界 5. **动态专家,不设固定池** — 用 `professor` 按失败模式召唤对应专家 6. **内容先于语言** — 诊断科学逻辑后再做 anti-slop / 语言打磨 7. **不自动升级事实** — 永远不把 "may indicate" 改成 "proves",除非有证据支撑 8. **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 9. **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 |
## 运行交付
每次运行结束时输出:
1. 当前文件路径或修订后文本 2. 当前分数/状态 3. 剩余风险 4. 一条建议的下一步
## QA Mode — 四层质量保障 Pipeline
当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。
### 情境挡位
| 挡位 | 适用场景 | 阈值 | |------|---------|------| | `paper` | 投稿论文 | 7.0 | | `proposal` | 研究方案/开题 | 7.0 | | `internal` | 内部汇报/周报 | 5.0 | | `quick` | 快速扫读 | 无 |
### Pipeline 顺序(先内容后语言)
``` Gate 2: professor Convener(内容层) ├── 论文 → 方法论专家 + 领域专家 ├── proposal → 可行性专家 + 创新性专家 └── 文献综述 → 覆盖面专家 + 批判深度专家 │ ▼ Gate 1: avoid-ai-writing 模式 detect-only └── 只对英文有效,中文跳过或降级为手工扫读 │ ▼ Gate 3: auto-validation(格式/完整性层) └── 每个 claim 有 citation?方法可复现?编号连续? │ ▼ Gate 4: 评分阈值(分维度打分) ├── 总分≥阈值 → 通过 ✅ └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮) ```
**Gate 2 在 Gate 1 之前** — 避免改了句子后被专家打回重写。
### 使用方法
``` 用户: "用 researchwrite 审查这段 discussion,paper 挡位" → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4 → 返回审查报告 + 定向修改建议
用户: "快速扫一下这个邮件" → 走 quick 挡位,只标记 P0 问题 ```
## 配置你的研究域
首次使用告诉 agent 你的研究背景,agent 会调用 `professor` 建立领域专家知识。后续写作中专家审查会基于你的领域。
Source provenance
Decision snapshot
38,703 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for researchwrite, ready for a manual X post.
researchwrite: Proposal-first scientific writing pipeline, installed under the compatibility trigger researc... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x
Listing + install path for researchwrite: https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill researchwrite
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Install targets
Codex install prompt
Install the "researchwrite" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-proposal-writer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-researchwrite","task":"Install researchwrite","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Maintenance
fresh
5d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
39K
93/100 Quality · 88/100 Trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
5d since push
License
MIT
Install
npx skills add Yuan1z0825/nature-skills --skill researchwrite
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill researchwriteDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-researchwrite/install
Agent should check
Copy prompt
Task: Use researchwrite in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20researchwrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install
Install command: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-researchwrite/install
LLM text format
/api/skills/yuan1z0825-researchwrite/install?format=text
Find alternatives
/api/skills/search?q=researchwrite&limit=3
Agent prompt
Use researchwrite for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-researchwrite/install, then install with: npx skills add Yuan1z0825/nature-skills --skill researchwriteRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-researchwrite
LLM text
/api/registry/manifest/yuan1z0825-researchwrite?format=text
Install alias
/api/registry/install/yuan1z0825-researchwrite
Recommend
/api/registry/recommend?task=Use%20researchwrite%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: researchwrite description: | Proposal-first scientific writing pipeline, installed under the compatibility trigger researchwrite and the repository package name nature-proposal-writer. Use for composing, revising, or auditing research proposals, opening reports, research plans, and evidence-grounded scientific writing. Three modes (compose/revise/hybrid) with a four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs. license: MIT metadata: hermes: tags: [research, writing, proposal, revision, qa, multi-agent] related_skills: [brainstorming, professor, avoid-ai-writing, docx] ---
# 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
1. **证据先于文字** — 起草前必须建立或读取 `research_canon` 和 `evidence_table` 2. **论证先于章节** — 写正文前必须完成 `argument_map` 3. **契约先于段落** — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation 4. **范围先于完备** — 如果是分阶段写作,先锁定阶段边界 5. **动态专家,不设固定池** — 用 `professor` 按失败模式召唤对应专家 6. **内容先于语言** — 诊断科学逻辑后再做 anti-slop / 语言打磨 7. **不自动升级事实** — 永远不把 "may indicate" 改成 "proves",除非有证据支撑 8. **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 9. **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 |
## 运行交付
每次运行结束时输出:
1. 当前文件路径或修订后文本 2. 当前分数/状态 3. 剩余风险 4. 一条建议的下一步
## QA Mode — 四层质量保障 Pipeline
当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。
### 情境挡位
| 挡位 | 适用场景 | 阈值 | |------|---------|------| | `paper` | 投稿论文 | 7.0 | | `proposal` | 研究方案/开题 | 7.0 | | `internal` | 内部汇报/周报 | 5.0 | | `quick` | 快速扫读 | 无 |
### Pipeline 顺序(先内容后语言)
``` Gate 2: professor Convener(内容层) ├── 论文 → 方法论专家 + 领域专家 ├── proposal → 可行性专家 + 创新性专家 └── 文献综述 → 覆盖面专家 + 批判深度专家 │ ▼ Gate 1: avoid-ai-writing 模式 detect-only └── 只对英文有效,中文跳过或降级为手工扫读 │ ▼ Gate 3: auto-validation(格式/完整性层) └── 每个 claim 有 citation?方法可复现?编号连续? │ ▼ Gate 4: 评分阈值(分维度打分) ├── 总分≥阈值 → 通过 ✅ └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮) ```
**Gate 2 在 Gate 1 之前** — 避免改了句子后被专家打回重写。
### 使用方法
``` 用户: "用 researchwrite 审查这段 discussion,paper 挡位" → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4 → 返回审查报告 + 定向修改建议
用户: "快速扫一下这个邮件" → 走 quick 挡位,只标记 P0 问题 ```
## 配置你的研究域
首次使用告诉 agent 你的研究背景,agent 会调用 `professor` 建立领域专家知识。后续写作中专家审查会基于你的领域。
Source provenance
Decision snapshot
38,703 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for researchwrite, ready for a manual X post.
researchwrite: Proposal-first scientific writing pipeline, installed under the compatibility trigger researc... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x
Listing + install path for researchwrite: https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill researchwrite
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
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[](https://www.openagentskill.com/skills/yuan1z0825-researchwrite?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-researchwrite/audit)
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@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness