paperlab-concept-spiral-learning skillA
paperlab-concept-spiral-learning is agent-read markdown (skill) from equinor/neqsim: Audit how concepts recur across PaperLab books so they are introduced, practiced, deepened, assessed, and reused without shallow repetition..
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 Concept Spiral Learning
## When to Use
USE WHEN: improving a long textbook or monograph where concepts recur across
many chapters and should deepen over time.
## Spiral Stages
| Stage | Meaning |
|-------|---------|
| introduce | first clear explanation |
| practice | worked example or basic exercise |
| deepen | broader case, limitation, or uncertainty |
| apply | engineering decision or design workflow |
| assess | exercise, lab, exam, or capstone |
## Output Schema
```json
{
"concepts": [
{
"concept": "hydrate margin",
"introduce": "ch04",
"practice": "ch06",
"deepen": "ch10",
"apply": "ch15",
"assess": "ch16_exercises",
"status": "complete"
}
]
}
```
## Pass Criteria
- Major concepts progress beyond definition.
- Exercises arrive after worked examples.
- Capstones integrate earlier concepts with cross-references.
## Safety Rules
- Do not remove intentional recap sections blindly.
- Do not force every concept through every stage.
- Keep reference-style chapters usable for lookup.Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-concept-spiral-learning@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-concept-spiral-learning@sha256:d7428b21c519980cPin 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_nsodl7udhb2qvfkl)
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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 (1280 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_nsodl7udhb2qvfkl GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-concept-spiral-learning GET https://markdownregistry.com/api/v1/blob/d7428b21c519980ce964675c486a9807e5ef38f242993e2e129f0d68d754da9e
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