paperlab-book-to-paper-extraction skillA
paperlab-book-to-paper-extraction is agent-read markdown (skill) from equinor/neqsim: Extract publishable paper candidates from PaperLab books, including case studies, benchmark suites, review syntheses, workflows, and teaching datasets..
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 Book to Paper Extraction
## When to Use
USE WHEN: a mature book contains chapters, examples, or notebooks that could be
turned into standalone scientific papers.
## Candidate Types
- benchmark characterization paper,
- engineering application paper,
- methods tutorial with validation,
- review or perspective article,
- dataset or software note,
- reproducible teaching-lab paper.
## Readiness Checks
For each candidate, check:
- original contribution,
- evidence and benchmark depth,
- literature gap,
- target journal fit,
- missing validation,
- required new experiments,
- overlap risk with the source book.
## Output Schema
```json
{
"candidates": [
{
"chapter": "ch08",
"paper_type": "application",
"novelty_angle": "validated workflow for compressor map screening",
"missing_evidence": ["independent reference case"],
"recommended_next_agent": "paper-planner"
}
]
}
```
## Safety Rules
- Avoid duplicate publication unless the paper adds new synthesis or validation.
- Do not extract confidential case material into public manuscripts.
- Keep pedagogical conclusions separate from scientific novelty claims.Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-book-to-paper-extraction@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-book-to-paper-extraction@sha256:86fa7d1f98ac6659Pin 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_zwtmmzejllql7676)
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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 (1399 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_zwtmmzejllql7676 GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-book-to-paper-extraction GET https://markdownregistry.com/api/v1/blob/86fa7d1f98ac66592be7079f5f44265956a2408534f7aa66edfbc55dd03b8da1
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.