A skill your agent uses when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal…

MITAuto-check passedResearch & Science

Install Ngeo Scope Fit

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-scope-fit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-scope-fit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-scope-fit .claude/skills/ngeo-scope-fit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ngeo-scope-fit
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
692 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal…

  • Works in 2 steps: A genuine Earth-system advance — the… → Broad, cross-disciplinary interest —…
  • Deciding whether an Earth-science result clears Nature Geosciences broad-interest
  • SKILL.md covers When to trigger, The two-part gate (both must…, The evidence bar (a Nat.… and Decision table, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ngeo Scope Fit is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal such as JGR, GRL, or Communications Earth & Environment. Diagnoses venue fit; does not write or frame the result.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Deciding whether an Earth-science result clears Nature Geosciences broad-interest
  • Cross-disciplinary Earth-system gate
  • Whether it belongs in a community journal such as JGR
  • Communications Earth & Environment

Example prompts

  • “/ngeo-scope-fit”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. A genuine Earth-system advance — the result changes a quantitative understanding of how the Earth (or another planet) works: a newly…
  2. Broad, cross-disciplinary interest — Earth scientists outside your subfield would want to know this. A result is broad if it reframes a…

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ngeo Scope Fit loads about 1.6k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 692 words, ~1,569 tokens.

Download SKILL.mdSave it as .claude/skills/ngeo-scope-fit/SKILL.md (or your agent's skills folder).
name
ngeo-scope-fit
description
Use when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal such as JGR, GRL, or Communications Earth & Environment. Diagnoses venue fit; does not write or frame the result.

Nature Geoscience Scope Fit (ngeo-scope-fit)

When to trigger

  • You suspect the result is solid but may be "regional," "incremental," or "specialist"
  • You cannot articulate why an oceanographer should read your volcanology paper (or vice versa)
  • A coauthor asks "Nature Geoscience or JGR?"
  • The study is model-only, or observation-only, and you are unsure it clears the evidence bar
  • Before investing in figures and prose, you want a go / no-go on venue

The two-part gate (both must pass)

Nature Geoscience publishes across all of the Earth sciences — solid Earth (tectonics, volcanology, geochemistry, deep interior), surface processes and geomorphology, hydrology and the cryosphere, oceanography, atmospheric science and climate (past, present, future), biogeochemistry, and planetary science. The gate ANDs two tests:

  1. A genuine Earth-system advance — the result changes a quantitative understanding of how the Earth (or another planet) works: a newly identified process, a decisive observational constraint, a mechanism that resolves a standing controversy, a proxy or dataset that reveals a previously hidden signal, or a model result that overturns an expected behavior.
  2. Broad, cross-disciplinary interest — Earth scientists outside your subfield would want to know this. A result is broad if it reframes a debate a neighboring community follows, transfers a method across domains, or bears on a first-order question (climate sensitivity, carbon cycle, sea level, deep-time evolution, habitability).

A rigorous, careful, but locally-scoped or "next-increment" result can pass technical review and still fail the gate. That is the most common Nature Geoscience rejection — and it happens at the editor's desk, before review, not as a quality judgment but a venue judgment.

The evidence bar (a Nat. Geosci. distinctive)

Beyond breadth, Nature Geoscience expects quantitative evidence with quantified uncertainty:

  • Observation-driven claims need field, remote-sensing, or proxy data with error bars.
  • Model-driven claims need observational grounding — a model result unanchored to data reads as speculation and is a classic desk-reject.
  • Any headline number needs a stated uncertainty; "missing uncertainty quantification" is a named rejection pattern.

Decision table

SituationVerdict
New process / mechanism + clear cross-subfield relevance + quantified dataNature Geoscience — strong fit
Decisive constraint settling a first-order, widely-debated questionNature Geoscience — strong fit
Novel proxy/dataset revealing a hidden global signalNature Geoscience — fit (frame the reach)
Solid regional case study, "next step" in an established local programJGR / community journal (subfield match)
Thorough model intercomparison, specialist parameter sweepsClimate Dynamics / GMD / community
Sound result, broad topic, but sub-flagship noveltyCommunications Earth & Environment / Nature Communications
Model-only projection with no observational anchorRetarget or add grounding (likely desk-reject)
Confirmation of an expected result with no new mechanismCommunity journal
Show full SKILL.md (269 more words)Show less

How to stress-test the gate

  • The neighbor test: name a specific Earth scientist in a different subfield and state, in one sentence, why they would read this. If you cannot, breadth is weak.
  • The "Here we show" test: draft the abstract's headline sentence. If it reads "we present the first regional record of X," importance is likely incremental; if it reads "we show that process Y controls Z," it is an advance.
  • The displacement test: what prior belief does this overturn, sharpen, or unlock? "Nothing, it extends the record" → specialist.
  • The grounding test: is every headline claim tied to data with uncertainty (or a model validated against data)? If not, expect a desk-reject.

Checklist

  • The single headline advance is stated in one sentence
  • The advance is a process/mechanism/constraint, not just a new local dataset
  • Broad interest is named for a concrete out-of-subfield Earth-science audience
  • Every headline claim is grounded in quantitative data or a data-validated model
  • Uncertainty is quantified for the headline number
  • You have honestly considered a community journal or Communications Earth & Environment
  • If borderline, you have a broad-interest argument ready for the cover letter

Anti-patterns

  • Equating a new regional record with a broad advance — Nature Geoscience rewards mechanism and reach, not first-ness
  • Claiming global relevance a local dataset cannot support
  • Submitting a "big-journal-ized" version of a specialist study to dodge the interest gate
  • A model-only result with no observational anchor and no uncertainty budget
  • Overreaching climate/impact claims the analysis does not license

Output format

【Headline advance】one sentence (process / mechanism / constraint)
【Evidence】data type (field / remote-sensing / proxy / model) + uncertainty stated?
【Broad interest】named out-of-subfield Earth-science audience + why they care
【Prior belief changed】...
【Verdict】Nat. Geosci. strong / with breadth framing / retarget community journal / retarget CEE-NatComms
【Next】ngeo-results-framing (if Nat. Geosci.) or retarget venue

Scope and evidence norms are durable, but content types and sister-journal boundaries evolve — verify on the official Nature Geoscience author pages (Checked: 2026-07-16).

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Nature-Geoscience-Skills/skills/ngeo-scope-fit of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Pymol VisualizationChatMol/ChatMol373—~1.2kAutomated safety check: PassMIT

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Questions about Ngeo Scope Fit

What does Ngeo Scope Fit do?

A skill your agent uses when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal…. Ngeo Scope Fit is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether an Earth-science result clears Nature Geoscience's broad-interest, cross-disciplinary Earth-system gate, or whether it belongs in a community journal such as JGR, GRL, or Communications Earth & Environment.

When should I use Ngeo Scope Fit?

Ngeo Scope Fit fits situations like: deciding whether an Earth-science result clears Nature Geosciences broad-interest; cross-disciplinary Earth-system gate; whether it belongs in a community journal such as JGR; communications Earth & Environment.

How do I install Ngeo Scope Fit in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-scope-fit -a claude-code`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-scope-fit in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ngeo-scope-fit in your project. Claude Code loads it when a task matches its description.

How do I install Ngeo Scope Fit in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-scope-fit -a codex`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-scope-fit in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ngeo-scope-fit in your project. Codex loads it when a task matches its description.

Can I use Ngeo Scope Fit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-scope-fit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ngeo-scope-fit, .gemini/skills/ngeo-scope-fit, .github/skills/ngeo-scope-fit and .opencode/skills/ngeo-scope-fit in your project.

What does Ngeo Scope Fit need to run?

SKILL.md names no scripts, command-line tools or credentials: Ngeo Scope Fit is instructions for the agent only.

Does Ngeo Scope Fit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ngeo Scope Fit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ngeo Scope Fit use?

Ngeo Scope Fit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ngeo Scope Fit use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ngeo Scope Fit?

Skills that share tags, products or a category with Ngeo Scope Fit: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ngeo Scope Fit?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.