A skill your agent uses when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh…

MITAuto-check passedResearch & Science

Install Eursr Review Process

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-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/European-Sociological-Review-Skills/skills/eursr-review-process .claude/skills/eursr-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
eursr-review-process
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
604 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh…

  • Works in 5 steps: Double-blind review. Neither authors nor… → Editorial screening. Editors assess fit,… → External review. Expert reviewers assess… → …
  • You need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review
  • SKILL.md covers When to trigger, How ESR review works, What reviewers weigh and Shape the paper to pass, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eursr Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh, decision categories, and the ethics rules (anonymity, no simultaneous submission). Sets expectations and shapes the paper to survive review; it does not contact editors.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Peer review. 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

  • You need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review
  • What comparative quantitative reviewers weigh
  • Decision categories
  • The ethics rules (anonymity

Example prompts

  • “/eursr-review-process”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Double-blind review. Neither authors nor reviewers are identified; the manuscript must be
  2. Editorial screening. Editors assess fit, comparative/theoretical contribution, and the
  3. External review. Expert reviewers assess the contribution, the theory and hypotheses, the
  4. Decisions. Reject, revise and resubmit (major or minor), or (rarely on first round) accept. R&R
  5. Ethics. Submitting elsewhere while under ESR review is not allowed; prior appearances must be

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

Eursr Review Process loads about 1.6k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 604 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 604 words, ~1,629 tokens.

Download SKILL.mdSave it as .claude/skills/eursr-review-process/SKILL.md (or your agent's skills folder).
name
eursr-review-process
description
Use when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh, decision categories, and the ethics rules (anonymity, no simultaneous submission). Sets expectations and shapes the paper to survive review; it does not contact editors.

Review Process (eursr-review-process)

Knowing how ESR reviews helps you pre-empt the failure modes before submitting. ESR uses double-blind review and draws reviewers from the comparative quantitative-sociology community, so a paper must read credibly to experts who scrutinize the comparative/longitudinal design and the modeling.

When to trigger

  • Before submitting, to stress-test the manuscript against likely reviewer objections
  • Interpreting a decision letter and setting expectations
  • Understanding why a portable mechanism and a defensible quantitative design both matter

How ESR review works

  1. Double-blind review. Neither authors nor reviewers are identified; the manuscript must be completely anonymous (no author names, identifying acknowledgments, or identifying self-citation wording). Prepare accordingly (see eursr-submission).
  2. Editorial screening. Editors assess fit, comparative/theoretical contribution, and the length-vs-contribution balance; weak-fit, single-country-descriptive, or out-of-scope papers may be declined without full external review. Make the comparative mechanism obvious early.
  3. External review. Expert reviewers assess the contribution, the theory and hypotheses, the comparative/panel design, the modeling (level, clustering, invariance, few-cluster inference), and the evidence-to-claim link.
  4. Decisions. Reject, revise and resubmit (major or minor), or (rarely on first round) accept. R&R is the normal path; expect substantial revision. Replication packages are checked around conditional acceptance for statistical/computational work.
  5. Ethics. Submitting elsewhere while under ESR review is not allowed; prior appearances must be disclosed; English quality is the author's responsibility.

What reviewers weigh

Reviewer asksYou answer with
Does this move a comparative debate?explicit portable mechanism + comparative leverage
Is the design right for the claim?the design defense in eursr-research-design
Is the modeling correct?right level/clustering, invariance, few-cluster inference (eursr-data-analysis)
Are claims warranted by the evidence?intervals, robustness, honest scope
Is the contribution distinct from prior work?positioning in eursr-literature-positioning

Shape the paper to pass

  • Make the comparative mechanism and hypotheses explicit in the introduction.
  • Anticipate the toughest modeling objection (measurement equivalence, macro-N inference) and answer it.
  • Present robustness and leave-one-country-out checks honestly — reviewers trust candor.
  • Engage the comparative frontier, not just one national literature.
  • Have the replication package ready in spirit even before it is requested.
Show full SKILL.md (268 more words)Show less

Stage-by-stage failure points

StageWhat stops a paper herePre-empt by
Editorial screeningsingle-country / weak comparative fitfront-loading the comparative mechanism
Anonymity integrityidentifying wording or acknowledgmentsthe eursr-submission anonymity pass
Review — contribution"adds a coefficient, not a mechanism"a portable macro–micro claim
Review — designcomparison/panel can't identify the claimthe design defense + adjudication sentence
Review — modelingwrong level / fragile macro inferencedf-aware SEs, invariance, leave-one-out

Worked micro-example (illustrative)

A multilevel attitudes paper is mock-reviewed before submission.

Screening risk: reads as 24-country description → reframe around the contextual mechanism (how welfare
  generosity reshapes the individual link between insecurity and redistribution preference)
Contribution reviewer: "is there a mechanism, not just a country pattern?" → cross-level interaction headline
Modeling reviewer: "few clusters; invariance?" → wild cluster bootstrap + reported invariance level
Transparency reviewer: "package?" → DAS + Zenodo deposit ready (statistical → not exempt)
Predicted outcome: major R&R, not first-round accept (typical at ESR for a promising paper)

Stress-testing against the panel before submission converts likely screening and modeling failures into a clean R&R path.

Referee pushback → ESR-specific fix

  • "Why ESR and not a national journal?" → Surface the comparative mechanism on the first page; ESR screens hardest on comparative/theoretical contribution.
  • "Your macro inference is fragile." → Use df-aware methods and temper the country-level claim.
  • "You expected an accept." → Plan for a substantial R&R; first-round acceptance is rare at ESR.

Calibration anchors

  • Contribution and modeling correctness are both load-bearing. ESR rarely advances a paper strong on only one; the double-blind panel weights the portable mechanism and the comparative modeling together.
  • Candor reads as competence. Expert reviewers find fragile macro inference and non-equivalent measures; reporting them first builds trust that carries a borderline paper.
  • Confirm decision-category wording against the current guidelines if you need exact labels — the broad shape (reject / major-minor R&R / rare accept) is stable.

Anti-patterns

  • A single-country descriptive paper sent to a comparative flagship
  • Hiding fragile macro-N inference or non-equivalent measurement
  • Expecting acceptance without a serious R&R round
  • Treating a modeling reviewer's standards as illegitimate rather than addressing them

Output format

【Comparative contribution】portable mechanism + leverage clear? [Y/N]
【Design】defensible for the claim? [Y/N]
【Modeling】level/clustering/invariance/few-cluster handled? [Y/N]
【Evidence→claim】warranted and candid? [Y/N]
【Realistic outcome】reject / major-or-minor R&R / (rare) accept
【Next】eursr-submission (or eursr-rebuttal if decided)

Supplementary resources

© 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 European-Sociological-Review-Skills/skills/eursr-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Eursr Review Process

What does Eursr Review Process do?

A skill your agent uses when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh…. Eursr Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh, decision categories, and the ethics rules (anonymity, no simultaneous submission).

When should I use Eursr Review Process?

Eursr Review Process fits situations like: you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review; what comparative quantitative reviewers weigh; decision categories; the ethics rules (anonymity.

How do I install Eursr Review Process in Claude Code?

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

How do I install Eursr Review Process in Codex?

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

Can I use Eursr 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 eursr-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/eursr-review-process, .gemini/skills/eursr-review-process, .github/skills/eursr-review-process and .opencode/skills/eursr-review-process in your project.

What does Eursr Review Process need to run?

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

Does Eursr 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 Eursr 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 Eursr Review Process use?

Eursr 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 Eursr Review Process use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Eursr Review Process?

Skills that share tags, products or a category with Eursr Review Process: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eursr Review Process?

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.