eacl-artifact-evaluation
Use when packaging code, data, prompts, model outputs, and annotation materials for an EACL submission, first as an anonymized ACL Rolling Review supplement aligned with the Responsible NLP checklist, then as a public post-acceptance ACL Anthology release, with attention to licensing, dataset documentation, and reproduction instructions.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-artifact-evaluation --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.
# EACL Artifact Evaluation Use this to turn a paper's evidence into artifacts that survive review and become a public release. EACL runs through ACL Rolling Review, so the artifact lives two lives: an **anonymized supplement** attached at ARR submission, and a **public release** after commitment acceptance. Both are audited against the Responsible NLP checklist. Reopen the current checklist before packaging. ## The two lives of an EACL artifact | Stage | Form | Must be | Owner | |---|---|---|---| | ARR submission | Anonymized `.zip`/`.tgz` supplement | Fully de-identified, self-contained | Authors | | Commitment acceptance | Public repo + Anthology link | Licensed, versioned, reproducible | Authors | Do not conflate them: the review supplement must contain **no author-identifying strings**, while the public release must contain **exactly the identifying and licensing information the supplement omitted**. ## What belongs in an EACL artifact - **Code** to reproduce the headline tables, with a top-level entry point. - **Data**: the dataset or a loader plus a documented path to it; if redistribution is restricted, document access precisely rather than implying release. - **Prompts and
- The two lives of an EACL artifact
- What belongs in an EACL artifact
- Anonymized-supplement checklist
- Licensing and documentation for the public release
- Multilingual and lower-resource specifics
- Output format
python3 ../../../shared-resources/ml-conference-methods/code/check_repro_package.py /path/to/anonymous-supplement
What does the eacl-artifact-evaluation skill do?
Use when packaging code, data, prompts, model outputs, and annotation materials for an EACL submission, first as an anonymized ACL Rolling Review supplement aligned with the Responsible NLP checklist, then as a public post-acceptance ACL Anthology release, with attention to licensing, dataset documentation, and reproduction instructions.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-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 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.