paperlab-exercise-difficulty-ramp SKILL.md skillA
paperlab-exercise-difficulty-ramp 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-exercise-difficulty-ramp@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-exercise-difficulty-ramp/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 2,192 bytes
- Repository stars
- 167
- License
- Apache-2.0
Review and design PaperLab exercise sets with intentional progression from conceptual checks to calculation, design, uncertainty, and capstone tasks.
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 Exercise Difficulty Ramp ## When to Use USE WHEN: preparing a book for teaching, revising exercises, or checking that learning objectives are assessed with an appropriate difficulty progression. Pair with: - `paperlab-learning-objective-matrix` for objective coverage, - `paperlab-exam-alignment` for assessment fit, - `paperlab-student-readability` for student-facing wording. ## Exercise Types | Type | Student Action | |------|----------------| | concept-check | explain, define, compare | | calculation | compute a value with stated inputs | | interpretation | explain what a result means physically | | sensitivity | vary one or more inputs and compare outputs | | design-decision | choose between alternatives using constraints | | uncertainty-risk | use P10/P50/P90, risk matrix, or scenario range | | capstone | integrate multiple chapters or recurring cases | ## Difficulty Levels - `L1`: recall or identify. - `L2`: explain or classify. - `L3`: calculate with provided method. - `L4`: diagnose, compare, or justify. - `L5`: design, optimize, or evaluate uncertainty. ## Pass Criteria - Each chapter has at least one concept-check exercise. …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-exercise-difficulty-ramp@sha256:ca22b2645af19d6bThe 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_hfwgq47aqgnketue)
3 badge image fetches in 30 days. What the badge shows.
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 (2192 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_hfwgq47aqgnketue GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-exercise-difficulty-ramp GET https://markdownregistry.com/api/v1/blob/ca22b2645af19d6b6a7257e6bb32420ef41f7b7f7f0502697b64f4c44e4746d3
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.