Agent skill · Data & Analytics

webconf-reproducibility

Use when hardening the reproducibility of a Web Conference (WWW) paper whose evidence rests on crawls, platform APIs, live systems, or user logs — covering dataset decay, temporal snapshots, seed and environment reporting, the reproducibility appendix inside the 12-page PDF, and honest claims when the Web itself cannot be replayed.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill webconf-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: The-Web-Conference-Skills/skills/webconf-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

# Web Conference Reproducibility Reproducibility at this venue has a problem no offline-ML venue has: **the object of study mutates**. Pages die, APIs close, ranking systems retrain, platform policies change what may be collected at all. A Web Conference paper is reproducible to the degree that it *pins what can be pinned and measures what cannot*. The 2026 CFP's sanctioned home for this material is the optional appendix — "details on reproducibility, proofs, pseudo-code" — inside the same 12-page PDF, which reviewers are not obliged to read; so the reproducibility *claims* go in the main 8 pages and the reproducibility *mechanics* go in the appendix. ## Three reproducibility regimes | Regime | Example evidence | What "reproducible" means | Your obligation | |---|---|---|---| | Frozen | Public benchmark, released crawl | Re-run → same numbers | Seeds, versions, exact splits | | Decaying | Your own crawl, API pulls | Re-collect → quantifiably similar corpus | Snapshot, checksums, collection code, date stamps | | Unreplayable | Live A/B test, production traffic, human subjects | Independent teams can audit the protocol | Full protocol, power analysis, aggregate release | Most reviews

What's inside
Steps it walks through
  1. Three reproducibility regimes
  2. Pinning the decaying regime
  3. Determinism audit for the modeling stack
  4. Temporal honesty
  5. Vignette: the benchmark that dissolved
  6. What goes where
  7. Pre-submission reproducibility gate
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the webconf-reproducibility skill do?

Use when hardening the reproducibility of a Web Conference (WWW) paper whose evidence rests on crawls, platform APIs, live systems, or user logs — covering dataset decay, temporal snapshots, seed and environment reporting, the reproducibility appendix inside the 12-page PDF, and honest claims when the Web itself cannot be replayed.

How do I install it?

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