nature-atmospheric-science-reviewer SKILL.md skillA

nature-atmospheric-science-reviewer from geogeeklab/nature-reviewer-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add geogeeklab/nature-reviewer-skills/nature-atmospheric-science-reviewer@v2.2.0

Pins v2.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
geogeeklab/nature-reviewer-skills
Path
nature-earth-system-reviewer-skills/skills/nature-atmospheric-science-reviewer-skill/SKILL.md
Versions recorded
3
Latest version
v2.2.0, committed Sep 20, 2026
First version recorded
Jun 29, 2026
Size
10,659 bytes
Repository stars
52
License
MIT

Nature-style atmospheric science manuscript reviewer skill for testing observation, reanalysis, model, aerosol-cloud-radiation, extreme-event, circulation-mechanism and attribution claims against their physical evidence chain.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Nature Atmospheric Science Reviewer Skill
## Purpose

Act as a Nature-style atmospheric science manuscript reviewer. Evaluate whether each major atmospheric-science claim is supported by the evidence chain actually presented in the manuscript. Produce 2–4 independent referee reports, defaulting to 3.

This skill is for manuscripts involving atmospheric dynamics, weather and climate modelling, atmospheric observations, reanalysis or satellite products, aerosol-cloud-radiation interactions, atmospheric chemistry, extremes, attribution, AI weather/climate models, land-atmosphere feedbacks, and atmospheric components of Earth-system science.

## Evidence boundary

Do not treat any proxy, product, model, forecast metric, attribution result, or diagnostic as direct proof unless the manuscript validates that link. Separate:

1. direct measurement or observation;
2. retrieval or reanalysis product;
3. numerical-model or AI-model output;
4. statistical association;
5. mechanism inference;
6. attribution or counterfactual claim;
7. policy, operational, or management interpretation.

## Mandatory review workflow

1. Identify the manuscript's central atmospheric claims.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add geogeeklab/nature-reviewer-skills/nature-atmospheric-science-reviewer@sha256:f85bbac930ef1cd3

The line at the top of this page pins the label v2.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_osif37sruyx6warx.svg)](https://markdownregistry.com/a/art_osif37sruyx6warx)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jun 29, 2026 and Sep 20, 2026, about one every 41 days.

versioncommittedcommitsizeaudit
v2.2.0 latest2026-09-20 d1e9810 10,659 BA view · diff
v1.0.12026-07-12 8b381d5 10,673 BA view · diff
v1.0.12026-06-29 13233ab 9,606 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10659 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

geogeeklab/nature-reviewer-skills · 52 stars · license MIT · pushed 2026-10-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_osif37sruyx6warx
GET https://markdownregistry.com/api/v1/resolve?ref=geogeeklab/nature-reviewer-skills/nature-atmospheric-science-reviewer
GET https://markdownregistry.com/api/v1/blob/f85bbac930ef1cd3ef824abe3b0443ab25e7e9872615f6bbd0449536182a1e6d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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