paperlab-learning-objective-matrix SKILL.md skillA
paperlab-learning-objective-matrix from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add equinor/neqsim/paperlab-learning-objective-matrix@git:20260919.77c34a0Pins git:20260919.77c34a0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- equinor/neqsim
- Path
neqsim-paperlab/skills/paperlab-learning-objective-matrix/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 2,467 bytes
- Repository stars
- 167
- License
- Apache-2.0
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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@sha256:363ca508eb3ff9baThe line at the top of this page pins the label git:20260919.77c34a0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_h3bsq4q2dvt5ifod)
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Versions
The registry has recorded 1 version of this file, committed on Sep 19, 2026.
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 · 167 stars · license Apache-2.0 · pushed 2026-11-08 · 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
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.