nature-response

nature-response is a skill for Claude Code, Codex from hamzabellouch/agent-skills. It costs 142 tokens per session (1,014 once invoked), scanned A, a copy of nature-response, MIT.

A guide for writing and checking responses to journal reviewers and editors in the Nature style. It supports point-by-point replies, rebuttal letters, cover letters, and marked manuscript excerpts.

In plain words
What is it for?
Use it to prepare reviewer response packages, revision correspondence, cover letters, and excerpts showing what changed.
Why use it?
It helps authors answer review comments clearly and keep revisions tied to the requested changes and available evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare reviewer response packages, revision correspondence, cover letters, and excerpts showing what changed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hamzabellouch/agent-skills/academic-nature-nature-response
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hamzabellouch/agent-skills --skill academic-nature-nature-response
Clone the repo
git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nature-response

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-response/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-response)
Your own site
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-response"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-response/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nature-response

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-nature-nature-response"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-nature-nature-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,014 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00142 $0.01014
Opus 5 $0.00071 $0.00507
Sonnet 5 $0.00028 $0.00203
Haiku 4.5 $0.00014 $0.00101

Measured 9d ago against content hash 899b058fed24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nature-response scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to nature-response — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

Academic and Scientific Research/academic-nature-nature-response/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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. 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 modedraft / 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.

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, and deadlines from the email; identify mode and decision type; extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1) when present; classify each item; build a strategy summary; draft point-by-point responses and/or a revision cover letter; 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; start each new reviewer response on a new page in LaTeX/print-oriented outputs; flag missing author input; run QA; and return the package with a readiness state.

Read the full file on GitHub · 59 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 59 lines · 142 tokens per session scan A 899b058fed24

Subscribe to this mod's changes

nature-response is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 142 tokens to every session and 1,014 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to nature-response, differing in 26 lines, and is treated as a copy.

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