paperlab-journal-positioning skillA
paperlab-journal-positioning is agent-read markdown (skill) from equinor/neqsim: Match PaperLab manuscripts to journals and position the title, abstract, novelty angle, article type, keywords, and cover letter for submission..
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 Journal Positioning
## When to Use
USE WHEN: choosing a target journal, retargeting a manuscript, writing a cover
letter, or deciding whether a paper is better as a method, application,
characterization, or comparative article.
## Fit Dimensions
- journal scope,
- audience,
- article type,
- novelty bar,
- computational reproducibility expectations,
- data availability requirements,
- figure and word limits,
- citation and formatting style,
- likely reviewer expertise.
## Output Schema
```json
{
"ranked_journals": [
{
"journal": "computers_chem_eng",
"fit_score": 4,
"reason": "algorithmic process-simulation contribution",
"required_reframing": ["emphasize benchmark design", "tighten software novelty"]
}
]
}
```
## Pass Criteria
- Recommended journal exists in `journals/` or is clearly marked as new profile needed.
- The novelty claim matches the journal audience.
- Required manuscript changes are concrete.
## Safety Rules
- Do not overstate novelty for a higher-impact target.
- Do not hide limitations or validation gaps.
- Provide fallback journals when fit is uncertain.Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-journal-positioning@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-journal-positioning@sha256:ed531417e487ac8aPin 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_f2dqzn5gz7lborxo)
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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 (1380 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_f2dqzn5gz7lborxo GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-journal-positioning GET https://markdownregistry.com/api/v1/blob/ed531417e487ac8a250be210c4296a06e90dbdfe85db510f0eeab2bddf76a02d
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.