paperlab-reference-dataset-curation SKILL.md skillA
paperlab-reference-dataset-curation 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-reference-dataset-curation@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-reference-dataset-curation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 1,618 bytes
- Repository stars
- 167
- License
- Apache-2.0
Curate reference datasets for PaperLab validation, including source tracing, unit normalization, uncertainty notes, license status, and citation mapping.
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 Reference Dataset Curation
## When to Use
USE WHEN: extracting literature or benchmark data into files that support paper
claims, book examples, or regression baselines.
## Dataset Manifest Fields
```json
{
"dataset_id": "co2_water_solubility_2024",
"source_citation_key": "Author2024",
"source_type": "paper_table",
"extraction_method": "manual_table_transcription",
"original_units": {"temperature": "C", "pressure": "MPa"},
"normalized_units": {"temperature": "K", "pressure": "bara"},
"uncertainty": "reported standard deviation where available",
"license_or_use_note": "cite only; do not redistribute full source text",
"files": ["reference_data/co2_water_solubility_2024.csv"]
}
```
## Workflow
1. Identify source and citation key.
2. Extract only the data needed for validation.
3. Preserve original units and normalize into a separate column or metadata field.
4. Add uncertainty and data-quality notes.
5. Link each dataset to hypotheses, figures, and claims.
## Pass Criteria
- Every numeric column has a unit.
- Every dataset has a citation and extraction method.
- Public outputs avoid restricted source text.
## Safety Rules
…Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-reference-dataset-curation@sha256:776548e4c51310a0The 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_7vvk6jasldiruwey)
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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 (1618 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_7vvk6jasldiruwey GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-reference-dataset-curation GET https://markdownregistry.com/api/v1/blob/776548e4c51310a07eee181d2be7294af8866b14ee23282de7d83cda06c87fff
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.