paperlab-publication-opportunity-mining SKILL.md skillA
paperlab-publication-opportunity-mining 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-publication-opportunity-mining@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
.github/skills/paperlab-publication-opportunity-mining/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 2,147 bytes
- Repository stars
- 167
- License
- Apache-2.0
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.
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 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@sha256:25c4806b7d846727The 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_nuo2ldip2vd7lmwj)
2 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 (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 · 167 stars · license Apache-2.0 · pushed 2026-11-08 · 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 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.