equinor/neqsim/paperlab-reference-dataset-curation
Claude Code and agent skill by equinor/neqsim
Trust tier 3
- community
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Checking that the SKILL.md file is still in the repository.
Curate reference datasets for PaperLab validation, including source tracing, unit normalization, uncertainty notes, license status, and citation mapping.
Install
npx vskill@latest install equinor/neqsim/paperlab-reference-dataset-curationSKILL.md
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
Workflow
- Identify source and citation key.
- Extract only the data needed for validation.
- Preserve original units and normalize into a separate column or metadata field.
- Add uncertainty and data-quality notes.
- 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
- Do not redistribute copyrighted tables wholesale when a minimal derived dataset is enough.
- Never silently round or smooth data used for validation.
- Mark transcription uncertainty when data was read from figures.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingneqsim-paperlab/skills/paperlab-reference-dataset-curation/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
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