Plan and execute reproducible computer science paper reproductions with artifact inventory and gap tracking.
npx skills add https://github.com/Alanxtl/skills --skill reproduce-papers
Please help me install this Agent Skill. Skill: reproduce-papers Source: https://github.com/Alanxtl/skills/tree/main/reproduce-papers Command: npx skills add https://github.com/Alanxtl/skills --skill reproduce-papers
This Skill helps researchers and practitioners turn scholarly papers into traceable, reproducible experiments by guiding them from initial reading to artifact inventory, runnable drafts, gap tracking, and result validation.
Start from the paper, inventory artifacts and environments, build a minimal runnable draft, and record gaps with evidence for auditability.
High-intent search queries and answers about installing and using this skill.
To reproduce a computer science paper, you inventory artifacts and environments, build a minimal runnable draft, track gaps with evidence, and compare reproduced results against the paper's claims for auditability.
A runnable draft is the smallest end-to-end execution path verifying a paper's main claim without full fidelity. You need it to validate reproducibility before investing in complete environment setup and exact dependency matching.
Inventoring artifacts for reproducible experiments involves pinning down data, code, dependencies, hardware specifications, and runtimes. This captures the complete environment needed to execute and validate the scholarly paper's pipeline.
Yes, you can reproduce results with missing details by using gap tracking. This logs missing information, deviations from the paper, and supporting evidence, maintaining traceability and auditability throughout the reproduction workflow.
Validating reproduced results requires aligning your experimental outputs with the paper's claims and metrics. This involves comparing results, documenting deviations, and capturing evidence to ensure the reproduction satisfies traceability requirements.
The best way to ensure traceability is maintaining an artifact inventory, building runnable drafts, and continuously tracking gaps with supporting evidence. This workflow captures deviations and provides full auditability for the reproduction process.
zizhenchen47-ossExtract key ideas and practical meaning from research papers into markdown notes.
bahayonghangTranslate IEEE papers between English and Chinese while preserving LaTeX syntax.
polaris-dxzDiagnose and install CLI tools, runtimes, and package managers for OpenClaw on macOS and Windows.
qcmuuTrack ML experiments, version models, and deploy via MLflow registry URIs.
