paper-context-resolver
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo…
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An agent skill that resolves a specific reproduction-critical detail (dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption) from primary paper sources when a README-first deep learning repo reproduction leaves a narrow gap. It returns a narrowed source list, a reproduction-relevant answer, and an explicit note on any README-paper conflicts, distinguishing direct evidence from inference.
Use it when the README and repo files almost cover reproduction but one paper detail is missing and must be verified against primary sources.
Use it to
- Resolve a dataset split or version question from the paper
- Confirm preprocessing or evaluation protocol details
- Map released checkpoints to paper configurations
- Clarify a runtime assumption the README omits
- Record a conflict between README guidance and the paper
For Reproduction engineers running README-first deep learning repo reproductions
- Host repository
- lllllllama/RigorPilot-Skills
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- Python