paperlab-publication-opportunity-mining skillA
paperlab-publication-opportunity-mining is agent-read markdown (skill) from equinor/neqsim: Mine NeqSim and PaperLab repositories for publishable scientific papers, book chapters, benchmark notes, and review articles. Use when looking for the next high-impact PaperLab publication opportunity..
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 Publication Opportunity Mining
## When to Use
USE WHEN: deciding what PaperLab should write next, scanning NeqSim for
publication-worthy changes, or converting code and task history into a ranked
paper/book roadmap.
## Signals to Inspect
| Signal | Why it matters |
|--------|----------------|
| Recent Java classes or tests | Fresh capability or unreported improvement |
| Existing notebooks and figures | Lowers effort to produce evidence |
| Changelog and task log entries | Indicates solved problems with reusable context |
| Unvalidated model claims | Creates validation-paper opportunities |
| Repeated book sections | May become a standalone review or tutorial paper |
## Scoring Dimensions
Score candidates from 0 to 5 for:
- novelty,
- NeqSim improvement impact,
- validation data availability,
- benchmark feasibility,
- figure and table richness,
- journal fit,
- book reuse potential.
## Output Schema
```json
{
"opportunities": [
{
"slug": "flash_solver_convergence",
"title": "Flash solver convergence across multiphase envelopes",
"paper_type": "characterization",
"readiness": "needs_validation",
…Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-publication-opportunity-mining@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-publication-opportunity-mining@sha256:25c4806b7d846727Pin 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_nuo2ldip2vd7lmwj)
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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 (2147 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_nuo2ldip2vd7lmwj GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-publication-opportunity-mining GET https://markdownregistry.com/api/v1/blob/25c4806b7d84672717c6902efe1bc15aff58665a0e863d04b5ef8314226bddad
Your agent 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.