aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when building the open-science and reproducibility story for an ASE (IEEE/ACM Automated Software Engineering) submission, covering the mandatory Data Availability Statement, anonymized-but-runnable tools, tool and subject-system provenance pinning, cached LLM outputs, and
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-reproducibility -a windsurf -y
name: ase-reproducibility description: Use when building the open-science and reproducibility story for an ASE (IEEE/ACM Automated Software Engineering) submission, covering the mandatory Data Availability Statement, anonymized-but-runnable tools, tool and subject-system provenance pinning, cached LLM outputs, and staging for the ACM Available/Reusable artifact badges.
Build the reproducibility story at data-collection time, not at submission. ASE requires a **mandatory Data Availability Statement** in the paper and expects an **anonymized, runnable** artifact at review time; automated-SE artifacts are usually *tools*, so "runnable" means a reviewer can actually execute the automation on stated subjects. What is not pinned when you collect it cannot be reconstructed later.
appendix space).
**where it will live** after acceptance (an archival DOI target).
not a neutral placeholder.
than a modest, honest one.
author metadata, and any path revealing your identity (`/home/<you>/`, institutional URLs).
can execute the automation without your machine.
commit — automated-SE tools rot fast against moving toolchains.
For the tool:
experiments (including seeds for randomized components).
For subject systems and datasets:
criteria; and any manual **labeling protocol** with inter-rater agreement.
For LLM-based components:
artifact reproduces rather than calls a live, drifting API.
| Failure | Consequence | Prevention | |---|---|---| | Tool needs your exact machine | Reviewers cannot run it; artifact fails | Container/lockfile + minimal run path | | Subjects unpinned (branch, not SHA) | Numbers cannot be reproduced | Record SHAs + extraction date at collection | | LLM outputs uncached | Re-runs drift; comparison invalid | Cache outputs; record model IDs/dates | | Data Availability outside the 10 pages | Policy violation | Place it after Conclusions, inside the budget | | Identity leak in artifact | Anonymity violation | Scrub owner/metadata; re-host anonymized |
The submission-time artifact and the post-acceptance badge artifact are the *same package* matured. ASE offers **Artifacts Available** and **Artifacts Reusable** badges (ACM scheme); staging for them now avoids a scramble later (see `ase-artifact-evaluation`):
open license.
beyond reproducing your tables.
[Data Availability] present, after Conclusions, inside 10pp? matches the archive? [Tool] commit pinned, deps versioned, container/lockfile, minimal run path? [Subjects/data] SHAs + extraction date + selection/labeling protocol recorded? [LLM] model IDs/dates, prompts, cached outputs? [Anonymity] owner/metadata scrubbed; anonymized re-host? [Badge readiness] Available (DOI+license) / Reusable (docs+run path) staged?
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL…
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits,…
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical…
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and…
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and…
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
AI-driven presentation workflow for generating editable PPTX decks and slides, reconstructing page visuals, creating reusable…
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style…
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to…