A skill your agent uses when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what…

MITAuto-check passed

Install Emnlp Supplementary

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-supplementary -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-supplementary --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-supplementary .claude/skills/emnlp-supplementary && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
emnlp-supplementary
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
817 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what…

  • Dividing an EMNLP paper between content pages
  • SKILL.md covers The four surfaces and their…, What EMNLP appendices are…, Anonymity holds at every layer and Splitting under the cap: a…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Uncounted Limitations and ethics sections

What it does

Emnlp Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body, what belongs in appendix prompts-and-tables territory, and what ships as anonymous code and data archives.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Dividing an EMNLP paper between content pages
  • Uncounted Limitations and ethics sections
  • ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body
  • What belongs in appendix prompts-and-tables territory

Example prompts

  • “/emnlp-supplementary”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Emnlp Supplementary loads about 1.7k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 817 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 817 words, ~1,675 tokens.

Download SKILL.mdSave it as .claude/skills/emnlp-supplementary/SKILL.md (or your agent's skills folder).
name
emnlp-supplementary
description
Use when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body, what belongs in appendix prompts-and-tables territory, and what ships as anonymous code and data archives.

EMNLP Supplementary

Use this when the paper is being carved into layers. Under ARR, an EMNLP submission is a stack of surfaces with different review guarantees: content pages that reviewers must read, uncounted mandatory sections they will read, appendices they may read, and supplementary uploads they are explicitly not obliged to open. Misplacing one artifact across these boundaries is a quiet way to lose a review.

The four surfaces and their contracts

SurfaceCounted?Review contractBelongs here
Content pages (8 long / 4 short)YesMust-readClaims, method, headline results, error analysis core
Limitations (+ optional ethics)NoRead and auditedReal boundaries, risks, cultural scope of annotations
AppendicesNoDiscretionaryVerbatim prompts, full result grids, guidelines, proofs of detail
Supplementary uploadNoExplicitly optionalCode, data samples, model outputs, extended logs

The design rule: a reviewer who stops at the Limitations section must already be convinced. Anything decision-critical placed lower in the stack is a gamble on reviewer generosity that the venue's own rules tell you not to make.

What EMNLP appendices are actually for

NLP papers generate a characteristic residue that appendices exist to hold:

  • Prompts, verbatim. Every template, system message, and few-shot block behind a reported number — paraphrased prompts are not reproducible.
  • The full grid. Body tables show the decision-relevant slice; the appendix holds every language × model × metric cell so nobody suspects curation.
  • Annotation materials. Guidelines, interface screenshots, qualification tests, adjudication rules — the things the Responsible NLP checklist swears exist.
  • Example galleries with counts. Extended model outputs organized by the error taxonomy from the body, each category labeled with its frequency.
  • Negative and sanity results. The prompt variants that didn't work, the metric that disagreed — cheap honesty that pre-empts "did you try…" reviews.

Every appendix section needs at least one pointer from the body; unreferenced appendices are invisible, and reviewers do not spelunk.

Anonymity holds at every layer

The no-anonymity-period policy frees your preprint, not your uploads. Supplementary archives leak identity more often than PDFs because they are assembled last, from working directories:

bash
# Sweep the supplementary archive before upload
unzip -l supp.zip | grep -Ei '\.git/|\.ipynb_checkpoints|DS_Store'
unzip -p supp.zip '*.py' '*.md' '*.json' 2>/dev/null | \
  grep -nEi 'github\.com/|/home/[a-z]+|@[a-z]+\.(edu|com)|wandb\.ai/[a-z]' | head
# Notebook metadata carries usernames; strip outputs and metadata before packaging

Model outputs deserve a special pass: generated text sometimes quotes training data containing your own lab's names or URLs, and cached API responses may embed account identifiers in headers you forgot were in the JSON.

Splitting under the cap: a worked division

A long paper on multilingual toxicity detection with a new annotated corpus, three model families, and a human evaluation:

  • Body: task motivation with measured gap; corpus construction summary with agreement numbers; main comparison (one table, five languages); error taxonomy with frequencies; significance methodology in two sentences.
  • Limitations: script and dialect coverage boundaries; annotator demographic frame; known label ambiguity classes.
  • Appendix: full guidelines; per-language result grids; all prompts; extended examples per error class; annotation interface.
  • Supplementary zip: corpus sample with license file, scoring scripts, run configs.

The test of the split: could a skeptical reviewer verify the headline claim without opening the zip? Here, yes — the zip only deepens verification, it never gates it.

Show full SKILL.md (327 more words)Show less

What does not belong in an appendix

The appendix is discretionary reading, which cuts both ways — some material placed there is effectively deleted, and some actively hurts:

  • The only statement of a core claim's evidence. If the body says "see App. F for the main comparison," the paper has moved its heart into optional territory.
  • The error analysis. Reviewers treat body-level error analysis as a signal of seriousness; an appendix-only error analysis reads as an afterthought filed under completeness.
  • Un-discussed contradictions. An appendix grid quietly showing the method losing on two languages the body never mentions is not transparency, it is a landmine — a reviewer who finds it will ask why the body didn't.
  • Fresh claims. Anything argued for the first time in an appendix escapes the review contract; ACs are entitled to ignore it, and sharp ones flag it.

The repair in each case is the same: surface the finding in the body in one honest sentence, and let the appendix hold the detail.

Size, format, and cycle volatility

Upload caps, accepted formats, and whether appendices ride inside the main PDF or as separate files are OpenReview-form details that ARR can change between cycles — read the current form fields rather than assuming last cycle's layout. When in doubt, put appendices in the main PDF after references (the prevailing ACL-family pattern) and reserve the separate upload for genuinely non-PDF material.

Short papers: the compressed stack

A 4-page short paper uses the same four surfaces at higher pressure. The body holds exactly one claim and its strongest evidence; the Limitations section does double duty as the honest scope fence that lets the one claim stay sharp; the appendix absorbs the full grid that proves the claim was not cherry-picked. What short papers cannot do is use appendices to smuggle a long paper past the format — reviewers calibrate to the 4-page contract and read an appendix three times the body's length as a format dodge, not thoroughness.

Output format

text
[Layer map] <artifact -> body / limitations / appendix / supplementary>
[Must-read completeness] <can review conclude from body + limitations alone: yes/no>
[Orphaned appendices] <sections never referenced from the body>
[Anonymity sweep] <archive findings>
[Form check] <current upload fields and caps confirmed: yes/no>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in EMNLP-Skills/skills/emnlp-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Emnlp Supplementary next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Emnlp Supplementary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Emnlp Supplementary this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Icdm Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1kAutomated safety check: PassMIT
Naacl Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Soda Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Aaai Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~852Automated safety check: PassMIT
Acl Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT

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Questions about Emnlp Supplementary

What does Emnlp Supplementary do?

A skill your agent uses when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what…. Emnlp Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body, what belongs in appendix prompts-and-tables territory, and what ships as anonymous code and data archives.

When should I use Emnlp Supplementary?

Emnlp Supplementary fits situations like: dividing an EMNLP paper between content pages; uncounted Limitations and ethics sections; ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body; what belongs in appendix prompts-and-tables territory.

How do I install Emnlp Supplementary in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-supplementary -a claude-code`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/emnlp-supplementary in your project. Claude Code loads it when a task matches its description.

How do I install Emnlp Supplementary in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-supplementary -a codex`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/emnlp-supplementary in your project. Codex loads it when a task matches its description.

Can I use Emnlp Supplementary in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/emnlp-supplementary, .gemini/skills/emnlp-supplementary, .github/skills/emnlp-supplementary and .opencode/skills/emnlp-supplementary in your project.

What does Emnlp Supplementary need to run?

SKILL.md names no scripts, command-line tools or credentials: Emnlp Supplementary is instructions for the agent only.

Does Emnlp Supplementary access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Emnlp Supplementary safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Emnlp Supplementary use?

Emnlp Supplementary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Emnlp Supplementary use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Emnlp Supplementary?

Skills that share tags, products or a category with Emnlp Supplementary: Icdm Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Naacl Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Soda Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Aaai Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Emnlp Supplementary?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.