imc-reproducibility
Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-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.
# IMC Reproducibility Use this before submission and again before camera-ready. IMC treats availability and reproducibility as scored dimensions, not courtesies: the submission carries an **artifact-availability declaration**, accepted papers are shepherded to deliver it, and IMC runs a dedicated **Replicability Track**. The goal is that a competent reader could rebuild your analysis from the released data — and re-run your *method* to gather comparable new data — and reach your conclusions. ## The moving-Internet reality Measurement differs from lab science: **you cannot re-collect the same data**, because the network changes between runs. So reproducibility at IMC splits in two: - **Analysis reproducibility:** the released dataset + scripts regenerate every figure and number in the paper. This you can and must make turnkey. - **Method reproducibility:** the tooling and documented vantage-point setup let someone re-run the measurement to obtain *comparable* (not identical) data. This is what enables replication. Say which you provide, and never present method reproducibility as if it reproduced your exact numbers. ## Evidence map - Map each finding, claim, and reported number to a
- The moving-Internet reality
- Evidence map
- Availability declaration audit
- Provenance pinning
- Degrees of reproducibility (state the one you achieved)
- The Replicability Track
- Consistency and camera-ready pass
- Output format
What does the imc-reproducibility skill do?
Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-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.