rss-reproducibility
Use when strengthening the reproducibility of an RSS (Robotics: Science and Systems) paper whose evidence lives partly on hardware — platform disclosure ledgers, log-backed trial claims, seeds and configs for the computational half, honest replication tiers, and release plans aligned with the free open-access proceedings culture.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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.
# RSS Reproducibility Make an embodied result checkable. Robotics reproducibility is two different problems wearing one name: the computational half (code, seeds, configs) can be rerun by anyone; the physical half (this robot, this room, this cloth) can only be *specified* well enough for a peer lab to attempt replication. Treat the halves separately and state which tier each claim sits in. ## Rep
What does the rss-reproducibility skill do?
Use when strengthening the reproducibility of an RSS (Robotics: Science and Systems) paper whose evidence lives partly on hardware — platform disclosure ledgers, log-backed trial claims, seeds and configs for the computational half, honest replication tiers, and release plans aligned with the free open-access proceedings culture.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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.