Agent skill · Data & Analytics

conext-reproducibility

Use when building the reproducibility story for an ACM CoNEXT paper — pinned traces and configs, a runnable artifact, an honest data-availability posture, and the one-page artifact description the CoNEXT reproducibility committee needs — remembering that the ACM badge opt-in is due before the submission deadline.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill conext-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: 5 KB
Bundled scripts: none
Path: CoNEXT-Skills/skills/conext-reproducibility/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +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

# CoNEXT Reproducibility Build the reproducible-networking story alongside the experiments, not after acceptance. CoNEXT runs a dedicated **reproducibility committee** that awards **optional ACM badges**, and the single most missed rule is that **badge eligibility requires opting in before the paper submission deadline** — you cannot bolt it on later. Even for authors who skip badging, a reproducible artifact strengthens a double-anonymous, one-shot-revision review. ## The timing trap (read this first) ```text [Before the submission deadline] OPT IN for ACM badging (required for eligibility) [At submission] anonymized, runnable artifact referenced from the paper [Within ~1 week of acceptance] send a ONE-PAGE artifact description to the reproducibility committee with pointers to code and other artifacts [Camera-ready / post-accept] committee evaluates for Available / Functional / Reusable / Reproduced badges (see conext-artifact-evaluation) ``` Miss the opt-in and the strongest artifact in the world cannot earn a badge this cycle. ## What "reproducible" means for a networking paper Networking reproducibility is harder than "here is the code," because the result depends on an environ

What's inside
Steps it walks through
  1. The timing trap (read this first)
  2. What "reproducible" means for a networking paper
  3. Pin provenance at collection time
  4. Honest data-availability posture
  5. Anonymity of the artifact (double-anonymous review)
  6. The one-page artifact description
  7. Pre-submission reproducibility audit
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the conext-reproducibility skill do?

Use when building the reproducibility story for an ACM CoNEXT paper — pinned traces and configs, a runnable artifact, an honest data-availability posture, and the one-page artifact description the CoNEXT reproducibility committee needs — remembering that the ACM badge opt-in is due before the submission deadline.

How do I install it?

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

Keep going