sosp-experiments
Use when designing or auditing the evaluation of a SOSP paper — mapping every claim to an experiment, choosing baselines a systems PC will accept as fair, mixing microbenchmarks with end-to-end and failure runs, reporting tails and overheads honestly, and isolating the mechanism the design credits.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-experiments --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.
# SOSP Experiments Use this while the evaluation is being designed — it determines whether the paper is writable at all. SOSP reviews concentrate their negative weight on evaluation soundness, and the venue's response phase forbids new experiments (CFP, 2026 cycle, checked 2026-07-08), so a hole discovered in review stays a hole. The evaluation's job is to make each claim's evidence findable, fair
What does the sosp-experiments skill do?
Use when designing or auditing the evaluation of a SOSP paper — mapping every claim to an experiment, choosing baselines a systems PC will accept as fair, mixing microbenchmarks with end-to-end and failure runs, reporting tails and overheads honestly, and isolating the mechanism the design credits.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-experiments --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.