Agent skill

osdi-reproducibility

Use when building reproducibility into an OSDI systems project — recording hardware, configuration, workload, and measurement provenance while experiments run, keeping paper and artifact from drifting apart, and setting up for the post-acceptance sysartifacts evaluation and open-access scrutiny.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill osdi-reproducibility --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: OSDI-Skills/skills/osdi-reproducibility/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OSDI Reproducibility Make the numbers survivable. OSDI-specific hooks below (artifact timing, badge scope, open-access exposure) are 2026-cycle facts verified 2026-07-08; the provenance discipline is venue-independent engineering. ## Why the bar is high at OSDI specifically Two venue mechanics raise the stakes beyond generic good practice: - **USENIX proceedings are open access from day one.** Every reader on the internet — including the teams whose systems you outperformed — gets the free PDF immediately and can attempt your numbers. Errors get found publicly and fast. - **Artifact evaluation happens after acceptance** (May 8, 2026, 8:59 pm PDT in the '26 cycle), when the experiments are months old. If provenance was not recorded while runs happened, the artifact reconstructs a memory, not an experiment. Reproducibility at OSDI is therefore a *recording* problem during the project, not a *packaging* problem at the end. Packaging is `osdi-artifact-evaluation`'s job; this skill makes packaging possible. ## The provenance ledger Maintain one machine-readable ledger, committed beside the code, updated by the run scripts themselves — never by hand after the fact: ```yaml # runs/2025-

What's inside
Steps it walks through
  1. Why the bar is high at OSDI specifically
  2. The provenance ledger
  3. What systems papers must pin down
  4. Determinism where it is cheap, honesty where it is not
  5. Traces, data, and the licensing wall
  6. Timing against the 2026 cycle
  7. The handoff test
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the osdi-reproducibility skill do?

Use when building reproducibility into an OSDI systems project — recording hardware, configuration, workload, and measurement provenance while experiments run, keeping paper and artifact from drifting apart, and setting up for the post-acceptance sysartifacts evaluation and open-access scrutiny.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill osdi-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 984 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.

Keep going