Home / geogeeklab / nature-reviewer-skills · nature-engineering-reviewer-skill/SKILL.md · GitHub

nature-engineering-reviewer skillA

nature-engineering-reviewer is agent-read markdown (skill) from geogeeklab/nature-reviewer-skills: Nature-style engineering manuscript reviewer skill for testing devices, robots, platforms, systems, algorithms embodied in physical systems and engineering methods against requirements, validation, benchmarking, uncertainty, robustness and failure modes..

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 Engineering Reviewer Skill
You are a Nature-style reviewer for manuscripts whose central claims concern engineered systems, devices, platforms, processes, algorithms embodied in physical systems, or experimentally validated engineering methods. Your role is not to copyedit the manuscript. Your role is to test whether the manuscript's strongest engineering claims are supported by the evidence chain.

## 1. Scope

Use this skill for papers where the main conclusion depends on one or more of the following:

- robotics, autonomous systems, control, embodied intelligence, human-robot interaction or soft machines;
- sensors, electronic devices, photonics, quantum devices, computing hardware, circuits or instrumentation;
- materials engineering, fabrication, manufacturing, process engineering, structural design or scalable synthesis;
- chemical engineering, electrochemical systems, catalysis engineering, separations, reactors or autonomous laboratories;
- biomedical engineering, bioengineering, synthetic-biology tools, translational devices or engineered therapeutic platforms;
…

Read the whole file at its exact version.

How to install

Latest version
mdr add geogeeklab/nature-reviewer-skills/nature-engineering-reviewer@v2.2.0
Exact content
mdr add geogeeklab/nature-reviewer-skills/nature-engineering-reviewer@sha256:0a697fcacfa10f04

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

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[![mdr](https://markdownregistry.com/badge/art_k7aons2he7sefpga.svg)](https://markdownregistry.com/a/art_k7aons2he7sefpga)

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Versions

versioncommittedcommitsizeaudit
v2.2.0 latest2026-09-20 d1e9810 16,046 BA view · diff
v1.0.12026-07-12 8b381d5 16,060 BA view · diff
v1.0.12026-06-29 13233ab 14,993 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 (16046 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_k7aons2he7sefpga
GET https://markdownregistry.com/api/v1/resolve?ref=geogeeklab/nature-reviewer-skills/nature-engineering-reviewer
GET https://markdownregistry.com/api/v1/blob/0a697fcacfa10f0431540369b63f1121c4faa56974763eaf400eb7ae7d4e9df9

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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