paperlab-derivation-symbolic-checking SKILL.md skillA
paperlab-derivation-symbolic-checking 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-derivation-symbolic-checking@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-derivation-symbolic-checking/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 1,630 bytes
- Repository stars
- 167
- License
- Apache-2.0
Check PaperLab mathematical derivations for assumptions, dimensional consistency, limiting cases, notation, and NeqSim implementation linkage.
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 Derivation Symbolic Checking
## When to Use
USE WHEN: a paper or book includes a new method, equation derivation, algorithm
description, Jacobian, residual formulation, or thermodynamic identity.
## Audit Dimensions
| Dimension | Questions |
|-----------|-----------|
| Assumptions | Are phase, EOS, ideality, and differentiability assumptions explicit? |
| Units | Are both sides dimensionally consistent? |
| Symbols | Are symbols defined once and reused consistently? |
| Limiting cases | Does the equation reduce correctly for simple or ideal cases? |
| Code linkage | Is there a Java method, notebook, or test implementing the equation? |
## Output Schema
```json
{
"equations": [
{
"label": "residual_jacobian",
"status": "needs_fix",
"issues": ["symbol J reused for flux and Jacobian"],
"limiting_cases_checked": ["ideal gas", "zero association"],
"implementation_link": "neqsim.package.Class#method"
}
]
}
```
## Pass Criteria
- Each derivation states assumptions.
- Units and symbols are consistent.
- At least one limiting case or reference comparison is described.
…Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-derivation-symbolic-checking@sha256:8ee75ffd22ae4bc4The 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_ekw5z74qd327t5no)
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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 (1630 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_ekw5z74qd327t5no GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-derivation-symbolic-checking GET https://markdownregistry.com/api/v1/blob/8ee75ffd22ae4bc40de9f1217da1716c57eeb4a459a582a724e676037502145f
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.