Home / geogeeklab / nature-reviewer-skills · nature-earth-system-reviewer-skills/skills/nature-remote-sensing-reviewer-skill/SKILL.md · GitHub

nature-remote-sensing-reviewer skillA

nature-remote-sensing-reviewer is agent-read markdown (skill) from geogeeklab/nature-reviewer-skills: Nature-style remote-sensing manuscript reviewer skill for evaluating Earth-observation products, retrievals, machine-learning maps, validation design, uncertainty propagation, spatial transferability and claim-scope calibration..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Nature Remote-Sensing Reviewer Skill

## Purpose

Use this skill to produce Nature-style referee reports for remote-sensing manuscripts. The skill performs role-level reviewer behavior while preserving the limits of the materials provided by the user. It does not imitate, identify, or infer any real anonymous reviewer.

## Minimal Use

The user may provide one or more files and ask for review, for example:

```text
Use $nature-remote-sensing-reviewer to review the uploaded files.
```

The skill must infer file roles, extract readable material when possible, determine the submitted-material completeness, apply manuscript-triggered reviewer gates, and generate a Nature-style report. The user should not need to provide a long prompt.

## Operating Principle
…

Read the whole file at its exact version.

How to install

Latest version
mdr add geogeeklab/nature-reviewer-skills/nature-remote-sensing-reviewer@v2.2.0
Exact content
mdr add geogeeklab/nature-reviewer-skills/nature-remote-sensing-reviewer@sha256:a3208d7ab5366be4

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qeua6ysdccqnb3qu.svg)](https://markdownregistry.com/a/art_qeua6ysdccqnb3qu)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v2.2.0 latest2026-09-20 d1e9810 17,294 BA view · diff
v1.0.12026-07-12 8b381d5 17,308 BA view · diff
v1.0.12026-06-29 13233ab 16,241 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (17294 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 · 41 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qeua6ysdccqnb3qu
GET https://markdownregistry.com/api/v1/resolve?ref=geogeeklab/nature-reviewer-skills/nature-remote-sensing-reviewer
GET https://markdownregistry.com/api/v1/blob/a3208d7ab5366be4c343a0b3e8e59c1a947147878db6e1705407ae1647765bb9

Your agent 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.

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