paperlab-student-readability skillA
paperlab-student-readability is agent-read markdown (skill) from equinor/neqsim: Review and revise PaperLab book chapters so students can learn efficiently. Use for learning-objective alignment, prerequisite checks, worked examples, summaries, exercises, glossary consistency, and chapter-level pedagogy..
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
# PaperLab Student Readability ## When to Use USE WHEN: improving a PaperLab textbook or course book for student learning, especially after the scientific content is broadly complete. This skill checks whether a chapter is easy to enter, easy to follow, and useful for exam and exercise preparation. DO NOT USE for: journal-paper conciseness, renderer debugging, or technical validation of NeqSim calculations. Pair with `paperlab-scientific-traceability-audit` for scientific claims and `paperlab-book-typesetting-release` for final formats. ## Reader Model Assume the primary reader is a student who: - knows basic petroleum engineering terminology but not every industrial acronym, - learns best from worked examples and recurring case threads, - needs to connect equations, figures, and decisions, - will use the book for exercises, exams, and project work, - may be reading in English as a second language. ## Chapter Checklist For each chapter, check: 1. **Learning objectives**: 3 to 7 objectives, written as observable actions. Prefer verbs such as calculate, compare, explain, diagnose, design, and evaluate. Avoid vague objectives such as "understand processing". …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-student-readability@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-student-readability@sha256:6d2bf1dd8cbe9301Pin 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.
[](https://markdownregistry.com/a/art_2s75ruljsjugllg4)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3791 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
equinor/neqsim · 155 stars · license Apache-2.0 · pushed 2026-09-24 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_2s75ruljsjugllg4 GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-student-readability GET https://markdownregistry.com/api/v1/blob/6d2bf1dd8cbe9301b390fd743c2748e1aafcccc48cf213033004bfc49b32f568
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.