Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Review then install
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Review then install
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Review then install
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Review then install
Install targets
Codex install prompt
Install the "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response. 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: >- 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-nature-response","task":"Install nature-response","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
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-response
Maintenance
fresh
4d since push
Risk
Safe to try
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
GitHub quality
39K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
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
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-response
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 nature-responseDo 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%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-response/install
Agent should check
Copy prompt
Task: Use nature-response in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-response
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-nature-response/install
LLM text format
/api/skills/yuan1z0825-nature-response/install?format=text
Find alternatives
/api/skills/search?q=nature-response&limit=3
Agent prompt
Use nature-response for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-responseRegistry 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-nature-response
LLM text
/api/registry/manifest/yuan1z0825-nature-response?format=text
Install alias
/api/registry/install/yuan1z0825-nature-response
Recommend
/api/registry/recommend?task=Use%20nature-response%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
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
Workflow automation
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
PASS4d since push
License clarity
PASSApache-2.0
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
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
--- name: nature-response description: >- Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Keep mutually blind reviewers isolated so no reviewer-facing response reveals another reviewer's comments, numbering, recommendation, or author response. Prevent reviewer-driven manuscript accretion by preferring replacement, compression, or SI relocation over appending non-central defense prose. Use for reviewer comments, editor decision letters, pasted editorial emails, response drafts, cover letters, response to reviewers, rebuttal, 修回信, 返修邮件, 编辑邮件, 返修 cover letter, 审稿意见回复, 逐点回复, 大修回复, 小修回复, 回复审稿人, 修改稿回复, 写rebuttal, 回应审稿意见, 标红修改, or LaTeX 模板. ---
# 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 or templates 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 revision correspondence 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` / `cover-letter` / `revision-package` / `latex-template` / `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.
Decision type is a required intake gate for normal revision work. First extract it from an editor decision letter when available. If it is still unclear, ask the user whether this is a `Major Revision` or `Minor Revision` before drafting a response strategy or response prose. Do not infer the decision from the number, tone, or apparent difficulty of reviewer comments.
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 workflow in `core/workflow.md`: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs `E.1`) then reviewer comments (`R1.1`, `R2.1`) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load `../nature-shared/core/main-text-discipline.md`. Answer the reviewer completely in the letter, but keep the manuscript change to the shortest text needed for the reader. Prefer replacement or compression over appending, and route non-central robustness or reconciliation detail to SI unless it changes the central interpretation.
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/` and `templates/` are deep resources, 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, `references/latex-templates.md` for `.tex` cover/response/redline outputs, `../nature-shared/core/main-text-discipline.md` for reviewer-driven manuscript additions and evidence relocation, `references/package-consistency-audit.md` whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and `references/qa-checklist.md` before finalizing.
`qa-checklist.md` and `package-consistency-audit.md` are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run `scripts/check_package_consistency.py` after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
## 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`, and `nature-citation`.
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 nature-response, ready for a manual X post.
A practical pick for a repeatable workflow: nature-response: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x
Listing + install path for nature-response: https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-response
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.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Install targets
Codex install prompt
Install the "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response. 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: >- 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-nature-response","task":"Install nature-response","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
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-response
Maintenance
fresh
4d since push
Risk
Safe to try
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
GitHub quality
39K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
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
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-response
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 nature-responseDo 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%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-response/install
Agent should check
Copy prompt
Task: Use nature-response in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-response
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-nature-response/install
LLM text format
/api/skills/yuan1z0825-nature-response/install?format=text
Find alternatives
/api/skills/search?q=nature-response&limit=3
Agent prompt
Use nature-response for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-responseRegistry 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-nature-response
LLM text
/api/registry/manifest/yuan1z0825-nature-response?format=text
Install alias
/api/registry/install/yuan1z0825-nature-response
Recommend
/api/registry/recommend?task=Use%20nature-response%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
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
Workflow automation
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
PASS4d since push
License clarity
PASSApache-2.0
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
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
--- name: nature-response description: >- Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Keep mutually blind reviewers isolated so no reviewer-facing response reveals another reviewer's comments, numbering, recommendation, or author response. Prevent reviewer-driven manuscript accretion by preferring replacement, compression, or SI relocation over appending non-central defense prose. Use for reviewer comments, editor decision letters, pasted editorial emails, response drafts, cover letters, response to reviewers, rebuttal, 修回信, 返修邮件, 编辑邮件, 返修 cover letter, 审稿意见回复, 逐点回复, 大修回复, 小修回复, 回复审稿人, 修改稿回复, 写rebuttal, 回应审稿意见, 标红修改, or LaTeX 模板. ---
# 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 or templates 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 revision correspondence 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` / `cover-letter` / `revision-package` / `latex-template` / `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.
Decision type is a required intake gate for normal revision work. First extract it from an editor decision letter when available. If it is still unclear, ask the user whether this is a `Major Revision` or `Minor Revision` before drafting a response strategy or response prose. Do not infer the decision from the number, tone, or apparent difficulty of reviewer comments.
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 workflow in `core/workflow.md`: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs `E.1`) then reviewer comments (`R1.1`, `R2.1`) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load `../nature-shared/core/main-text-discipline.md`. Answer the reviewer completely in the letter, but keep the manuscript change to the shortest text needed for the reader. Prefer replacement or compression over appending, and route non-central robustness or reconciliation detail to SI unless it changes the central interpretation.
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/` and `templates/` are deep resources, 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, `references/latex-templates.md` for `.tex` cover/response/redline outputs, `../nature-shared/core/main-text-discipline.md` for reviewer-driven manuscript additions and evidence relocation, `references/package-consistency-audit.md` whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and `references/qa-checklist.md` before finalizing.
`qa-checklist.md` and `package-consistency-audit.md` are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run `scripts/check_package_consistency.py` after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
## 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`, and `nature-citation`.
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 nature-response, ready for a manual X post.
A practical pick for a repeatable workflow: nature-response: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x
Listing + install path for nature-response: https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-response
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.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Install targets
Codex install prompt
Install the "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response. 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: >- 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-nature-response","task":"Install nature-response","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
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-response
Maintenance
fresh
4d since push
Risk
Safe to try
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
GitHub quality
39K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
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
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-response
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 nature-responseDo 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%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-response/install
Agent should check
Copy prompt
Task: Use nature-response in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-response
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-nature-response/install
LLM text format
/api/skills/yuan1z0825-nature-response/install?format=text
Find alternatives
/api/skills/search?q=nature-response&limit=3
Agent prompt
Use nature-response for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-responseRegistry 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-nature-response
LLM text
/api/registry/manifest/yuan1z0825-nature-response?format=text
Install alias
/api/registry/install/yuan1z0825-nature-response
Recommend
/api/registry/recommend?task=Use%20nature-response%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
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
Workflow automation
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
PASS4d since push
License clarity
PASSApache-2.0
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
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
--- name: nature-response description: >- Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Keep mutually blind reviewers isolated so no reviewer-facing response reveals another reviewer's comments, numbering, recommendation, or author response. Prevent reviewer-driven manuscript accretion by preferring replacement, compression, or SI relocation over appending non-central defense prose. Use for reviewer comments, editor decision letters, pasted editorial emails, response drafts, cover letters, response to reviewers, rebuttal, 修回信, 返修邮件, 编辑邮件, 返修 cover letter, 审稿意见回复, 逐点回复, 大修回复, 小修回复, 回复审稿人, 修改稿回复, 写rebuttal, 回应审稿意见, 标红修改, or LaTeX 模板. ---
# 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 or templates 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 revision correspondence 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` / `cover-letter` / `revision-package` / `latex-template` / `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.
Decision type is a required intake gate for normal revision work. First extract it from an editor decision letter when available. If it is still unclear, ask the user whether this is a `Major Revision` or `Minor Revision` before drafting a response strategy or response prose. Do not infer the decision from the number, tone, or apparent difficulty of reviewer comments.
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 workflow in `core/workflow.md`: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs `E.1`) then reviewer comments (`R1.1`, `R2.1`) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load `../nature-shared/core/main-text-discipline.md`. Answer the reviewer completely in the letter, but keep the manuscript change to the shortest text needed for the reader. Prefer replacement or compression over appending, and route non-central robustness or reconciliation detail to SI unless it changes the central interpretation.
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/` and `templates/` are deep resources, 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, `references/latex-templates.md` for `.tex` cover/response/redline outputs, `../nature-shared/core/main-text-discipline.md` for reviewer-driven manuscript additions and evidence relocation, `references/package-consistency-audit.md` whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and `references/qa-checklist.md` before finalizing.
`qa-checklist.md` and `package-consistency-audit.md` are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run `scripts/check_package_consistency.py` after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
## 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`, and `nature-citation`.
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 nature-response, ready for a manual X post.
A practical pick for a repeatable workflow: nature-response: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x
Listing + install path for nature-response: https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-response
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.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Install targets
Codex install prompt
Install the "nature-response" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-response. 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: >- 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-nature-response","task":"Install nature-response","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
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-response
Maintenance
fresh
4d since push
Risk
Safe to try
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
GitHub quality
39K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
The skill depends on ../nature-shared/core/main-text-discipline.md, which is outside the skill directory. This dependency should be clearly documented and verified to exist in the repository.
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
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-response
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 nature-responseDo 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%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-response/install
Agent should check
Copy prompt
Task: Use nature-response in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-response%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-response
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-nature-response/install
LLM text format
/api/skills/yuan1z0825-nature-response/install?format=text
Find alternatives
/api/skills/search?q=nature-response&limit=3
Agent prompt
Use nature-response for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-response/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-responseRegistry 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-nature-response
LLM text
/api/registry/manifest/yuan1z0825-nature-response?format=text
Install alias
/api/registry/install/yuan1z0825-nature-response
Recommend
/api/registry/recommend?task=Use%20nature-response%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
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
Workflow automation
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
PASS4d since push
License clarity
PASSApache-2.0
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
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
--- name: nature-response description: >- Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Keep mutually blind reviewers isolated so no reviewer-facing response reveals another reviewer's comments, numbering, recommendation, or author response. Prevent reviewer-driven manuscript accretion by preferring replacement, compression, or SI relocation over appending non-central defense prose. Use for reviewer comments, editor decision letters, pasted editorial emails, response drafts, cover letters, response to reviewers, rebuttal, 修回信, 返修邮件, 编辑邮件, 返修 cover letter, 审稿意见回复, 逐点回复, 大修回复, 小修回复, 回复审稿人, 修改稿回复, 写rebuttal, 回应审稿意见, 标红修改, or LaTeX 模板. ---
# 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 or templates 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 revision correspondence 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` / `cover-letter` / `revision-package` / `latex-template` / `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.
Decision type is a required intake gate for normal revision work. First extract it from an editor decision letter when available. If it is still unclear, ask the user whether this is a `Major Revision` or `Minor Revision` before drafting a response strategy or response prose. Do not infer the decision from the number, tone, or apparent difficulty of reviewer comments.
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 workflow in `core/workflow.md`: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, deadlines, and reviewer-visibility rules from the email; identify mode and pass the decision-type gate; apply the Major- or Minor-Revision strategy without downgrading the severity of individual comments; extract editor instructions (IDs `E.1`) then reviewer comments (`R1.1`, `R2.1`) when present; classify each item by response action and independently verified work status; build an internal/editor master strategy and tracker; draft a standalone privacy-filtered response for each mutually blind reviewer; when a reviewer missed material already present in the manuscript, treat that as a clarity signal and revise the presentation instead of replying that the point was already stated; draft a revision cover letter when required; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state.
Whenever a response proposes or performs a manuscript main-text edit, also load `../nature-shared/core/main-text-discipline.md`. Answer the reviewer completely in the letter, but keep the manuscript change to the shortest text needed for the reader. Prefer replacement or compression over appending, and route non-central robustness or reconciliation detail to SI unless it changes the central interpretation.
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/` and `templates/` are deep resources, 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, `references/latex-templates.md` for `.tex` cover/response/redline outputs, `../nature-shared/core/main-text-discipline.md` for reviewer-driven manuscript additions and evidence relocation, `references/package-consistency-audit.md` whenever the manuscript is edited alongside the letter or the package is about to be compiled and delivered, and `references/qa-checklist.md` before finalizing.
`qa-checklist.md` and `package-consistency-audit.md` are complementary and both apply to a final package: the first asks whether the response is complete, honest, and well-toned; the second asks whether the marked manuscript, the clean manuscript, and the letter actually agree with each other after editing. For a LaTeX package, run `scripts/check_package_consistency.py` after the first complete draft, after every manuscript edit, and immediately before delivery. Any manuscript edit invalidates the letter's verbatim quotes and page references, so re-run the audit rather than treating it as a one-time final check.
## 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`, and `nature-citation`.
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 nature-response, ready for a manual X post.
A practical pick for a repeatable workflow: nature-response: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x
Listing + install path for nature-response: https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-response
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.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-response?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness