Paper Context Resolver
Published by lllllllama in rigorpilot-skills
What this skill does
It helps an agent resolve a specific deep learning reproduction question by checking primary paper sources against README and repository evidence. It returns relevant findings, notes conflicts, and distinguishes direct evidence from inference. Best for Researchers and engineers reproducing a deep learning repository with a specific unresolved implementation detail.
Add Paper Context Resolver to your agent
Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.
Install with a prompt
Paste this into a compatible coding agent:
add this skill "paper-context-resolver" from https://github.com/lllllllama/rigorpilot-skillsInstall with the CLI
Run this command in a controlled environment after reviewing the repository:
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill paper-context-resolverSkill instructions
paper-context-resolver
Use this as the Rigor Paper Context helper. The installed slug remains
paper-context-resolver for compatibility.
When to apply
- README and repo files leave a reproduction-critical gap.
- The gap concerns dataset version, split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumptions.
- The main skill needs a narrow evidence supplement instead of a full paper summary.
- There is already a concrete reproduction question to answer.
When not to apply
- The README already gives enough reproduction detail.
- The user wants a general paper explanation rather than reproduction support.
- The goal is to override README instructions without documenting the conflict.
- The only available input is a paper title and there is no concrete reproduction gap yet.
Clear boundaries
- This skill is optional.
- This skill is helper-tier and should usually be orchestrator-invoked.
- It supplements README-first reproduction.
- It does not replace the main orchestration flow.
- It does not summarize the whole paper by default.
Input expectations
- target repo metadata
- reproduction-critical question
- existing README or repo evidence
- any already known paper links
Output expectations
- narrowed source list
- reproduction-relevant answer only
- explicit README-paper conflict note when applicable
- clear distinction between direct evidence and inference
Notes
Use references/paper-assisted-reproduction.md.
Files included
- agents/openai.yaml
- references/paper-assisted-reproduction.md
- SKILL.md