paperlab-instructor-resource-pack skillA
paperlab-instructor-resource-pack is agent-read markdown (skill) from equinor/neqsim: Build instructor resources from PaperLab books: lecture outlines, slide plans, question banks, solution manuals, rubrics, labs, and exam variants..
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 Instructor Resource Pack
## When to Use
USE WHEN: preparing a PaperLab textbook for teaching, course adoption, workshops,
or training delivery.
## Resource Types
- lecture outlines,
- slide plans,
- question banks,
- lab assignments,
- solution manual sections,
- grading rubrics,
- exam variants,
- project briefs.
## Question Bank Schema
```json
{
"questions": [
{
"id": "ch04_q03",
"chapter": "ch04",
"learning_objective": "LO-4.2",
"difficulty": "calculation",
"prompt": "...",
"solution_outline": "instructor-only",
"rubric": ["units", "method", "interpretation"]
}
]
}
```
## Pass Criteria
- Resources map to learning objectives.
- Labs have runnable notebooks or clear manual alternatives.
- Rubrics evaluate interpretation as well as calculation.
## Safety Rules
- Keep instructor-only answers out of public student exports.
- Do not include confidential industrial case details.
- Do not create exam questions that depend on unavailable software or data.Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-instructor-resource-pack@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-instructor-resource-pack@sha256:b9b76dab03aba22fPin 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_djcb6pkwbs5we4wq)
1 badge views in 30 days
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 (1253 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_djcb6pkwbs5we4wq GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-instructor-resource-pack GET https://markdownregistry.com/api/v1/blob/b9b76dab03aba22fd88616189b04e168636ce6aec48db62006aa3972c077c4b3
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.