Paper Context Resolver
- 141k installs
- 512 repo stars
- Updated July 26, 2026
- lllllllama/ai-paper-reproduction-skill
Paper-context-resolver is a helper skill for resolving reproduction-critical gaps from primary research papers.
About
Paper-context-resolver is a helper skill for resolving specific reproduction-critical gaps from primary research papers. It supplements README-first reproduction by narrowing down reproduction questions about dataset versions, splits, preprocessing, evaluation protocols, and checkpoint mappings. Use when the README leaves gaps on these specific details.
- Resolves reproduction-critical gaps from research papers like dataset splits and evaluation protocols
- Supplements README-first reproduction with narrow evidence from primary sources
- Records conflicts between paper specifications and repository implementation
Paper Context Resolver by the numbers
- 140,580 all-time installs (skills.sh)
- +36 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #5 of 2,065 Data Science & ML skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 3, 2026 (Skillselion catalog sync)
paper-context-resolver capabilities & compatibility
- Capabilities
- evidence gathering · conflict documentation · protocol resolution
npx skills add https://github.com/lllllllama/ai-paper-reproduction-skill --skill paper-context-resolverAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 141k |
|---|---|
| repo stars | ★ 512 |
| Security audit | 2 / 3 scanners passed |
| Last updated | July 26, 2026 |
| Repository | lllllllama/ai-paper-reproduction-skill ↗ |
What it does
ML researchers need to resolve specific paper details for accurate experiment reproduction.
Who is it for?
ML researchers and practitioners reproducing deep learning papers
Skip if: Developers needing general paper summaries, full repo scanning, conda environment setup, or command execution without a specific reproduction-critical question.
When should I use this skill?
README leaves gaps in dataset split, preprocessing, or evaluation protocol details
What you get
Narrowed evidence from paper sources identifying dataset splits, protocols, and any README-paper conflicts
- paper-sourced detail records
- README-versus-paper conflict notes
Files
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.
display_name: Rigor Paper Context
short_description: Rigor Paper Context helper for narrow reproduction-critical paper gaps without overriding README by default.
default_prompt: Use the linked paper only to resolve a narrow reproduction-critical detail such as dataset split, evaluation protocol, preprocessing, or checkpoint mapping, and record any README conflicts.
Paper-Assisted Reproduction
Purpose
Use paper context only to unblock README-first reproduction when the repository leaves a critical gap.
Only invoke this step after README and repo inspection already produced a concrete unanswered question.
Source order
1. paper link explicitly provided by the README 2. official project page or official paper page 3. arXiv or OpenReview primary paper record 4. Google Scholar only to help locate the primary source
Allowed question types
- dataset version or split
- preprocessing or postprocessing details
- evaluation protocol details
- checkpoint or model variant mapping
- critical runtime assumptions
Trigger discipline
Good trigger:
- "README is ambiguous about the evaluation split. Check the linked paper and record the conflict if needed."
Bad trigger:
- "Summarize this paper."
- "Find the paper for this repository title and explain it."
- "Tell me everything the paper changed compared with prior work."
Default exclusions
- full paper summary
- novelty explanation
- broad related-work discussion
- speculative "best settings" not tied to reproduction
Conflict rule
If README and paper disagree:
- do not silently replace README
- record the conflict
- explain which source says what
- preserve the README-first policy in the final report
Related skills
Microsoft FoundryDeploy, evaluate, and continuously improve Microsoft Foundry agents from a single agent interface.490k1.3kAi Research ReproductionOrchestrate trustworthy, auditable reproduction of deep learning repositories directly from their READMEs.176k511Run TrainSafely execute selected deep learning training commands with standardized evidence capture.176k511Explore RunSafely run isolated exploratory experiments with clear recording and conservative selection before committing changes.176k511Repo Intake And PlanScan unfamiliar AI research repositories and receive a minimal, trustworthy reproduction target before investing significant time.140k511Env And Assets BootstrapCreate a reproducible, conservative conda environment plus required checkpoints, datasets and caches before attempting to run any AI research paper reproduction.140k511Forks & variants (3)
Paper Context Resolver has 3 known copies in the catalog totaling 185k installs. They canonicalize to this original listing.
- lllllllama - 185k installs
- lllllllama - 31 installs
- lllllllama - 11 installs
FAQ
When should paper-context-resolver be used?
paper-context-resolver should be used only when README and repository files leave a narrow reproduction-critical gap. It resolves specific details like dataset splits, preprocessing, or evaluation protocols from primary paper sources.
What does paper-context-resolver not replace?
paper-context-resolver does not replace README guidance, general paper summaries, environment setup, or command execution. It fills targeted scientific gaps and records conflicts between repo documentation and published methods.
Is Paper Context Resolver safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.