A skill your agent uses when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main…

MITAuto-check passed

Install Eacl Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-review-process -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eacl-review-process --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/EACL-Skills/skills/eacl-review-process .claude/skills/eacl-review-process && 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
eacl-review-process
GitHub stars
1.2k
Token cost
~838 tokens
SKILL.md length
338 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main…

  • Reasoning about the EACL review pipeline through ACL Rolling Review
  • SKILL.md covers The pipeline, stage by stage, Findings is a real outcome, The single-cycle consequence… and Confidentiality and conduct, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering reviewers and the action editors meta-review

What it does

Eacl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main versus Findings versus reject, ethics escalation, confidentiality, and when to route a reviewed package to a sibling ACL venue.

Its SKILL.md is about 840 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

  • Reasoning about the EACL review pipeline through ACL Rolling Review
  • Covering reviewers and the action editors meta-review
  • The commitment step where EACL decides main versus Findings versus reject
  • Ethics escalation

Example prompts

  • “/eacl-review-process”

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.

    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

Eacl Review Process loads about 838 tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 338 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~838

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). 338 words, ~838 tokens.

Download SKILL.mdSave it as .claude/skills/eacl-review-process/SKILL.md (or your agent's skills folder).
name
eacl-review-process
description
Use when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main versus Findings versus reject, ethics escalation, confidentiality, and when to route a reviewed package to a sibling *ACL venue.

EACL Review Process

Use this to model how an EACL decision actually gets made, so advice matches the machinery. EACL outsources reviewing to ACL Rolling Review and keeps only the final decision: a paper is reviewed in an ARR cycle, receives an action-editor meta-review, and is then committed to EACL, where senior area chairs and program chairs sort commitments into main, Findings of ACL: EACL, or reject. Reopen the current ARR and EACL pages before relying on specifics.

The pipeline, stage by stage

StageWho actsOutput
ARR reviewReviewers (usually 3)Scores + written reviews
RebuttalAuthorsResponses (see eacl-author-response)
Meta-reviewAction editorSynthesized assessment
CommitmentAuthorsPackage committed to EACL
Venue decisionEACL SACs / PCsMain / Findings / reject

The meta-review is the pivot: EACL's committee reads it, not the raw reviews in isolation, so the rebuttal should aim to shape it.

Findings is a real outcome

  • Findings of ACL: EACL is archival, Anthology-published, and decided at commitment; notification is simultaneous with the main track. A Findings offer is an acceptance, not a rejection — weigh it as such (see eacl-topic-selection for the accept-Findings calculus).

The single-cycle consequence for routing

  • Because an edition like EACL 2027 draws from one ARR cycle with no fallback, a package that misses commitment or is rejected cannot simply wait for "the next EACL cycle" — the next opportunity is a different conference. Plan re-routing to a sibling *ACL venue (ACL, EMNLP, NAACL, AACL) as a first-class option, carrying the ARR reviews forward.

Confidentiality and conduct

  • ARR review is confidential; do not solicit, share, or discuss reviews outside the process.
  • Reviewers and authors are bound by the ACL code of conduct; harassment or coercion (including citation coercion) is reportable.

Ethics escalation

text
If a submission raises an ethics concern:
  reviewer/AE flags it -> ethics review track -> may condition or block acceptance
Authors: address ethics/data-governance issues in the paper and checklist up front;
         an unresolved flag can override otherwise-positive reviews.

Reading an outcome

  • A reject with substantive reviews is a resource: the ARR reviews travel with a resubmission to another venue, so a clean rebuttal and revision plan are not wasted.
  • A borderline meta-review often turns on the honesty of Limitations and the strength of the rebuttal — both are within author control.

Output format

text
[Pipeline position] <review / rebuttal / meta-review / commitment / decision>
[Meta-review read] <what the action editor likely concludes>
[Findings scenario] <accept-Findings vs push-for-main vs re-route>
[Ethics/conduct flags] <any, with handling>
[Next step] <commit here / re-route to sibling venue with ARR reviews>

© 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 EACL-Skills/skills/eacl-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Eacl Review Process 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.

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Recall Reasoningparcadei/Continuous-Claude-v33.9k1 repos~758Automated safety check: PassMIT

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Questions about Eacl Review Process

What does Eacl Review Process do?

A skill your agent uses when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main…. Eacl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about the EACL review pipeline through ACL Rolling Review, covering reviewers and the action editor's meta-review, the commitment step where EACL decides main versus Findings versus reject, ethics escalation, confidentiality, and when to route a reviewed package to a sibling ACL venue.

When should I use Eacl Review Process?

Eacl Review Process fits situations like: reasoning about the EACL review pipeline through ACL Rolling Review; covering reviewers and the action editors meta-review; the commitment step where EACL decides main versus Findings versus reject; ethics escalation.

How do I install Eacl Review Process in Claude Code?

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

How do I install Eacl Review Process in Codex?

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

Can I use Eacl Review Process 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 eacl-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eacl-review-process, .gemini/skills/eacl-review-process, .github/skills/eacl-review-process and .opencode/skills/eacl-review-process in your project.

What does Eacl Review Process need to run?

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

Does Eacl Review Process 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 Eacl Review Process 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 Eacl Review Process use?

Eacl Review Process 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 Eacl Review Process use?

About 838 tokens (SKILL.md is roughly 3.4k 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 Eacl Review Process?

Skills that share tags, products or a category with Eacl Review Process: Deepseek Reason (ruvnet/ruflo, 74k stars), Ejentum Reasoning Harness (sickn33/agentic-awesome-skills, 47k stars), Nowait Reasoning Optimizer (davila7/claude-code-templates, 32k stars) and Analyzing Active Directory Acl Abuse (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eacl Review Process?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.