hri-reproducibility
Use when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis code; reporting Wizard-of-Oz and pre-registration; and stating honestly what can and cannot be reproduced in an embodied human-subjects study.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-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.
# HRI Reproducibility Reproducibility means something specific — and harder — at HRI than at a benchmark-driven venue. You cannot "re-run" a study of an embodied robot and real people the way you re-run a model on a test set: the participants, the room, the exact robot, and the moment are gone. So HRI reproducibility is about making the **procedure, stimulus, and analysis** transparent enough that another team could **replicate the method** and readers can audit your inferences. This skill builds that story; it pairs with the shared kit in [`../../resources/code/README.md`](../../resources/code/README.md). ## What "reproducible" can and cannot mean here Be honest about the limits, and design the artifact around what *is* reproducible: - **Reproducible (aim for this):** the **study protocol**, the **robot behavior/stimulus**, the **measures**, the **analysis code**, and the **de-identified data** — enough to re-analyze your results and to run the same study elsewhere. - **Not reproducible (say so):** the exact human responses. A replication is a *new* sample; framing it otherwise overclaims. State this plainly rather than let a reviewer catch the overclaim. ## The replication packag
- What "reproducible" can and cannot mean here
- The replication package for an HRI study
- Report the things that make a study re-runnable
- De-identification and the video
- Openness at HRI (calibrated to the venue)
- Anonymization for double-blind
- Anti-patterns HRI reviewers flag
- Output format
What does the hri-reproducibility skill do?
Use when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis code; reporting Wizard-of-Oz and pre-registration; and stating honestly what can and cannot be reproduced in an embodied human-subjects study.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-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.