Individual skill
emnlp-artifact-evaluation
Use when packaging the artifacts of an EMNLP paper — datasets, annotation guidelines, prompts, evaluation code, and model outputs — as anonymous review-time evidence or public post-acceptance releases, with licensing, data statements, and the inspection order NLP reviewers actually follow.
EMNLP-Skills/skills/emnlp-artifact-evaluation/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,400
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- data Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 6,850 bytes
Read excerpt
# EMNLP Artifact Evaluation
Use this for evidence packaging around an EMNLP submission. EMNLP has no separate
artifact-badging committee; the artifact *is* part of the scientific claim, filed under
the Responsible NLP checklist and inspected at reviewer discretion. In NLP the artifact
surface is unusually broad — data, labels, prompts, outputs, and scoring code are all
first-class — and each has its own failure mode.
## What NLP reviewers open, in order
Reviewers with thirty minutes and suspicion follow a predictable path:
| Order | Artifact | What they are checking | Cheap failure |
|---|---|---|---|