Agent skill

vldb-artifact-evaluation

Use when preparing a PVLDB artifact for the pVLDB Reproducibility Evaluation or the ACM availability badge, covering the mandatory participation rule for EA&B papers, the four artifact surfaces evaluators rebuild, packaging for a rerun by strangers, and positioning for the Best Reproducible Paper Award at VLDB.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: VLDB-Skills/skills/vldb-artifact-evaluation/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

# VLDB Artifact Evaluation Use this once a PVLDB paper is accepted (or when an EA&B submission is being planned, since participation is not optional there). The pVLDB Reproducibility Evaluation — run jointly with SIGMOD's effort since the 2018 push — has committee members rebuild your experiment from your package. Two distinct prizes exist: the ACM **availability** badge for sharing, and the **Reproducible** outcome (with a Best Reproducible Paper Award) for surviving an independent rerun. ## Who must play, who should | Situation | Obligation | |---|---| | EA&B paper | Required: release all data and software, submit to evaluation | | Regular research paper | Optional but strongly encouraged; badge on offer | | Industrial paper with proprietary core | Availability of what can be shared; document the rest | | Vision paper | Rarely applicable | ## The four surfaces evaluators rebuild The committee's published expectations decompose an artifact into four layers. Package each one explicitly: 1. **Prototype** — source code, build environment, configuration. A container image plus the Dockerfile that produced it is the community's default. 2. **Input data** — the datasets themselves, or d

What's inside
Steps it walks through
  1. Who must play, who should
  2. The four surfaces evaluators rebuild
  3. Design for a stranger's machine
  4. Minimal package skeleton
  5. Award positioning
  6. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the vldb-artifact-evaluation skill do?

Use when preparing a PVLDB artifact for the pVLDB Reproducibility Evaluation or the ACM availability badge, covering the mandatory participation rule for EA&B papers, the four artifact surfaces evaluators rebuild, packaging for a rerun by strangers, and positioning for the Best Reproducible Paper Award at VLDB.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-artifact-evaluation --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