Nature 技能审查
- 作者仓库星标 16,057
- 作者仓库 nature-skills
Nature Reviewer Response — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (the default stance and red lines, and the response workflow with output format). - A dynamic layer (this file plus
manifest.yaml) that loads the core every time and reaches for the deeper response references only when a step needs them.
Do not try to apply the response logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these four steps every time the skill is invoked.
1. Load the manifest and the core layer
Read manifest.yaml. Then read every file listed under always_load:
static/core/stance.md— the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job.static/core/workflow.md— accepted inputs, the ten-step workflow, and the output package format.
2. No content axis — identify mode and language inline
Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
- task mode —
draft/audit/revise/triage-only/appeal-like. - decision type — minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
- user language — if the user writes Chinese, also produce the 中文核对 block.
Use references/intake-and-routing.md to fix the task mode, minimum inputs, and readiness state before drafting. Route appeal-like cases separately; do not draft an appeal as the default path.
3. Run the workflow
Follow the ten-step workflow in core/workflow.md: identify mode and decision type, extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1), classify each item, build a strategy summary, draft point-by-point responses from the preserved comments, map every claimed change to a manuscript location or an explicit placeholder, flag missing author input, run QA, and return the package with a readiness state.
Never invent experiments, citations, line numbers, figure panels, supplementary items, editor instructions, or manuscript changes. Mark anything the author must supply as AUTHOR_INPUT_NEEDED.
4. Reach for references only when needed
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/comment-taxonomy.md to classify comments, references/action-mapping.md for tracker fields, references/tone-and-stance.md for disagreement wording, references/difficult-cases.md for impossible experiments / conflicting reviewers / appeal-like cases, references/chinese-author-alignment.md for Chinese author notes, and references/qa-checklist.md before finalizing.
Why this split
- The static layer is versioned and reviewable; the core stays small for a normal response.
- The dynamic layer keeps each invocation cheap: the difficult-case, taxonomy, and QA depth load only when a step needs them.
- The router itself is short on purpose. Update fragments and references, not this file, when adding scope.
- This structure mirrors
nature-writing,nature-polishing,nature-reader,nature-paper2ppt,nature-figure, andnature-citation.
- 流狐分类
- 通用
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @Yuan1z0825 · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Follow these four steps every time the skill is invoked.
Read manifest.yaml. Then read every file listed under alwaysload: static/core/stance.md — the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job. static/core/workflow.md — accepted inputs, the…
Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies: task mode — draft / audit / revise / triage-only / appeal-like.
Follow the ten-step workflow in core/workflow.md: identify mode and decision type, extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1), classify each item, build a strategy summary, draft point-by-point responses from the preserved…
The files under references/ are deep references, not defaults. Open them on demand per the references.ondemand table in the manifest — for example references/comment-taxonomy.md to classify comments, references/action-mapping.md for tracker fields,…
The static layer is versioned and reviewable; the core stays small for a normal response. The dynamic layer keeps each invocation cheap: the difficult-case, taxonomy, and QA depth load only when a step needs them. The router itself is short on purpose. Update…
# Nature Reviewer Response — Router
This skill is split into two layers:
- A **static layer** under `static/` that holds versioned, reusable content fragments (the default stance and red lines, and the response workflow with output format).
- A **dynamic layer** (this file plus `manifest.yaml`) that loads the core every time and reaches for the deeper response references only when a step needs them.
Do not try to apply the response logic from memory or from this router. Always load fragments from disk as described below.
## Routing protocol
Follow these four steps every time the skill is invoked.
### 1. Load the manifest and the core layer
Read [manifest.yaml](manifest.yaml). Then read every file listed under `always_load`:
- `static/core/stance.md` — the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job.
- `static/core/workflow.md` — accepted inputs, the ten-step workflow, and the output package format.
### 2. No content axis — identify mode and language inline
Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
- **task mode** — `draft` / `audit` / `revise` / `triage-only` / `appeal-like`.
- **decision type** — minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
- **user language** — if the user writes Chinese, also produce the 中文核对 block.
Use `references/intake-and-routing.md` to fix the task mode, minimum inputs, and readiness state before drafting. Route appeal-like cases separately; do not draft an appeal as the default path.
### 3. Run the workflow
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> Routing protocol → 1. Load the manifest and the core layer → 2. No content axis — identify mode and language inline → 3. Run the workflow → 4. Reach for references only when needed → Why this split
要点 -> static layer · dynamic layer · task mode · decision type · user language
文件/命令 -> static/ · manifest.yaml · alwaysload · static/core/stance.md · static/core/workflow.md · draft · audit · revise
内容 SHA-256 -> f028a8f98e66
方法与流程
适用与边界
原文中的明确线索
static/、manifest.yaml、alwaysload、static/core/stance.md、static/core/workflow.md、draft、audit、revise