paperlab-learning-objective-matrix skillA
paperlab-learning-objective-matrix is agent-read markdown (skill) from equinor/neqsim: Map PaperLab learning objectives to sections, figures, notebooks, examples, exercises, and assessments. Use when verifying that a chapter or whole book delivers on its stated student outcomes..
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 Learning Objective Matrix
## When to Use
USE WHEN: a book or chapter has learning objectives and needs proof that each
objective is supported by teaching and assessment assets.
Pair with:
- `paperlab-student-readability` for objective wording,
- `paperlab-exam-alignment` for assessment coverage,
- `paperlab-notebook-regression-baselines` for computational objectives.
## Objective Asset Types
Map objectives to these assets:
| Asset | Required When |
|-------|---------------|
| theory_section | every objective |
| worked_example | calculation, design, or diagnosis objectives |
| figure_or_table | visual or comparative objectives |
| notebook | computational or NeqSim-backed objectives |
| exercise | every objective |
| assessment | course-release objectives |
| summary_takeaway | every chapter objective |
## Status Values
- `complete`: objective has teaching and assessment evidence.
- `partial`: objective has teaching evidence but weak practice.
- `missing-practice`: objective is explained but not exercised.
- `missing-assessment`: objective has no assessment item.
- `unverified`: objective cannot be mapped from available files.
## Output Schema
```json
{
…Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-learning-objective-matrix@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-learning-objective-matrix@sha256:363ca508eb3ff9baPin 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_h3bsq4q2dvt5ifod)
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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 (2467 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_h3bsq4q2dvt5ifod GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-learning-objective-matrix GET https://markdownregistry.com/api/v1/blob/363ca508eb3ff9bad2550fa8bdfad392626dd7f3bd7b9d03271cdda644d65b51
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