artifact-create
OfficialTurn your code into a reproducible AE artifact
Education & Research#docker#reproducibility#artifact evaluation#code cleaning#clean-room verification#research ops#artifact appendix
AuthorUnaryLab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill packages your research code into a reproducible artifact that evaluators can run end-to-end, so your results can be validated and rerun in a clean room for artifact-evaluation badges.
Core Features & Use Cases
- Clean-first, behavior-preserving packaging: runs code-clean and ensures the cleaned code still reproduces the same claimed results.
- Pinned, Dockerized environments: bakes your code plus a fully pinned dependency stack into a Docker image using a fixed base (no latest tags) and no baked secrets.
- Clean-room verification and AE paperwork: builds the image and reproduces the key results from scratch, while producing README/INSTALL, an Artifact Appendix, and a result-to-command map for Available/Functional/Reusable/Reproduced.
Quick Start
Use the artifact-create skill to package and verify your own project as a Docker-based, clean-room reproducible artifact for ACM/USENIX artifact evaluation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: artifact-create Download link: https://github.com/UnaryLab/ai-for-research/archive/main.zip#artifact-create Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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