Agent skill

tacas-reproducibility

Use when strengthening TACAS (ETAPS) reproducibility, covering the clean evaluation-VM packaging that the artifact process assumes, pinned dependencies and offline execution, a claim-to-script mapping so every benchmark number regenerates, honest degrees of reproducibility, consistency between the paper and the artifact, and the category difference between a mandatory tool-paper artifact and a voluntary research-paper artifact.

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

# TACAS Reproducibility Use this before submission (for tool papers, before the mandatory artifact deadline) and again before camera-ready. At TACAS reproducibility is not a courtesy: for a **regular tool** or **tool-demonstration** paper the artifact is **mandatory and feeds acceptance**, and for a research or case-study paper a voluntary artifact earns the title-page badges. The goal is that an ETAPS evaluator, on a **clean virtual machine**, can rebuild your evidence and reach your numbers. ## Design for the clean ETAPS VM The artifact process assumes a provided VM image with bounded evaluator time. Package accordingly: ```text [Self-contained] ship a VM-ready package: a Dockerfile or a pinned environment (lockfile), with the tool prebuilt; not "apt-get install 30 things and hope" [Offline] no network access at run time; vendor every dependency, benchmark, and model [Bounded] a short smoke run that finishes in minutes, plus a documented full run with its expected (possibly long) runtime [Deterministic] fix seeds and tool options; state what is and is not deterministic [Documented] a README that orients an evaluator in one screen: what it is, how to run the smoke test, how to rep

What's inside
Steps it walks through
  1. Design for the clean ETAPS VM
  2. Claim-to-script mapping (the heart of a TACAS artifact)
  3. Claim-to-evidence audit
  4. Degrees of reproducibility (state the one you achieved)
  5. Category difference
  6. Consistency and camera-ready pass
  7. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the tacas-reproducibility skill do?

Use when strengthening TACAS (ETAPS) reproducibility, covering the clean evaluation-VM packaging that the artifact process assumes, pinned dependencies and offline execution, a claim-to-script mapping so every benchmark number regenerates, honest degrees of reproducibility, consistency between the paper and the artifact, and the category difference between a mandatory tool-paper artifact and a voluntary research-paper artifact.

How do I install it?

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