acmmm-reproducibility
Use when strengthening the reproducibility of an ACM MM (ACM Multimedia) paper or preparing for the ACM MM Reproducibility track and ACM artifact badging — capturing environments, media/data access, seeds, and multimodal pipelines so an independent reviewer can rebuild results and reach Artifacts Evaluated or Results Reproduced badges.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-reproducibility --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ACM MM Reproducibility Use this to make an ACM Multimedia result rebuildable — both for main-track credibility and for the dedicated **Reproducibility track**, which routes artifacts through ACM's badging pipeline. Multimedia adds a wrinkle: the data is often video, audio, or interactive media, and "run the code" is not enough if a reviewer cannot obtain or render the media. ## What reproducibility means here ACM's artifact model distinguishes availability, evaluation, and reproduction. Map your goal to the badge you are actually pursuing: | Badge (ACM terminology) | What it asserts | What you must ship | |---|---|---| | Artifacts Available | The artifact is publicly, permanently retrievable | A DOI/archived repository with the code and media pointers | | Artifacts Evaluated (Functional/Reusable) | Reviewers ran it and it works / is reusable | Build + run instructions, environment, documentation | | Results Reproduced | An independent team reproduced the paper's results | A pipeline that regenerates the reported numbers/media | Confirm the exact badge set offered for the current cycle on the Reproducibility-track call; ACM's badge names and criteria evolve. ## The multimodal repr
- What reproducibility means here
- The multimodal reproducibility ledger
- Media and data access
- Determinism where it is achievable
- Reproducibility-track readiness pass
- Where multimodal pipelines silently break
- Anonymous review vs. public artifact
- Output format
What does the acmmm-reproducibility skill do?
Use when strengthening the reproducibility of an ACM MM (ACM Multimedia) paper or preparing for the ACM MM Reproducibility track and ACM artifact badging — capturing environments, media/data access, seeds, and multimodal pipelines so an independent reviewer can rebuild results and reach Artifacts Evaluated or Results Reproduced badges.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-reproducibility --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.