A skill your agent uses when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps…

MITAuto-check passedResearch & Science

Install Eursr Submission

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

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

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

At a glance

A skill your agent uses when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps…

  • Word/abstract caps
  • SKILL.md covers When to trigger, Process facts (verify volatile…, Preflight checklist and Avoidable returns at the ESR…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • OUP author-date style

What it does

Eursr Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps, OUP author-date style, the Data Availability Statement, and replication-package readiness. Final checks; it does not draft content.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/checklist.md`).

It sits in Research & Science, covering Econometrics and empirical research. 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

  • Word/abstract caps
  • OUP author-date style
  • The Data Availability Statement
  • Replication-package readiness

Example prompts

  • “/eursr-submission”

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 Submission loads about 2k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 800 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
~2k

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). 800 words, ~1,962 tokens.

Download SKILL.mdSave it as .claude/skills/eursr-submission/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
eursr-submission
description
Use when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps, OUP author-date style, the Data Availability Statement, and replication-package readiness. Final checks; it does not draft content.

Submission Preflight (eursr-submission)

The last check before submitting through ScholarOne Manuscripts (mc.manuscriptcentral.com/esr). ESR is double-blind, so the most common avoidable failure is an under-anonymized manuscript; the second is a missing or vague Data Availability Statement. Verify volatile specifics (caps, policy dates, editors, any fees) on the official OUP/ESR page first.

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure what ScholarOne expects (anonymous manuscript + DAS + replication readiness)
  • Confirming the caps are met, the manuscript is anonymous, and the data statement is in place

Process facts (verify volatile items on the official page)

  • Owner / publisher: flagship journal of ECSR (European Consortium for Sociological Research, a non-profit under German law hosted at the WZB Berlin), published by Oxford University Press. Scope: sociology with a quantitative emphasis.
  • Editor-in-Chief: Prof. Fabrizio Bernardi (National University of Distance Education, UNED) (verified 2026-06-22 via ECSR, OUP, and Wikipedia; re-confirm the full team/term on the live Editorial Board page, as offices rotate).
  • Portal: ScholarOne Manuscripts, mc.manuscriptcentral.com/esr.
  • Review model: double-blind — the manuscript must be completely anonymous; you may cite your own work but not in identifying wording.
  • Length: Articles around 8,000 words including endnotes and references (tables and figures excluded); longer papers are considered, but reviewers judge whether the contribution justifies the length. (Some renderings cite a stricter cap — confirm the current figure; 待核实.)
  • Abstract: ≤200 words, no identifying information; keywords as requested.
  • Format / style: English; author-date citations (e.g., "(Gans, 1962)") per OUP/ESR conventions.
  • Data Availability Statement: required for every manuscript (policy applies to submissions from 5 Sep 2022).
  • Replication package: for statistical/computational work, submissions from 1 Jan 2025 must deposit a package as a condition of publication (assemble it now; typically required at conditional acceptance). Qualitative work is exempt. Restricted/confidential data are accommodated via shareable code plus a documented access path (no need to deposit the raw data itself).
  • Article types: research Articles, Comments/Replies, and Data Briefs.
  • Fees: no submission fee (verified 2026-06-22); an open-access APC applies only if OA is chosen. OUP sets the exact ESR APC on its live charges page and does not publish a stable figure — confirm the current amount and any read-and-publish/transformative-agreement waiver there. Acceptance rate, time-to-first-decision, and reviewer count are not verified in the source map — check the live OUP/ESR page; do not quote a figure.

Preflight checklist

Type & length
  • Article (~8,000 words incl. text + endnotes + references) / Comment-Reply / Data Brief
  • If over ~8,000, the contribution-justifies-length case is made
  • Abstract ≤200 words, non-identifying; keywords included
Anonymity (double-blind review)
  • No author names, affiliations, or identifying acknowledgments anywhere in the manuscript
  • Self-citations neutralized ("in a prior study," not "in our prior study")
  • Identifying file metadata stripped (document properties)
  • No identifying funding/grant numbers in the manuscript body (move to the system fields)
Format & files
  • English; author-date citations consistent (Zotero/BibTeX)
  • Tables/figures self-contained and anonymous (see eursr-tables-figures)
Transparency & ethics
  • Data Availability Statement drafted (archive/provider + version + access condition)
  • Replication package assembled (statistical/computational) or exemption noted (qualitative)
  • Not under review elsewhere; prior appearances disclosed
Show full SKILL.md (315 more words)Show less

Avoidable returns at the ESR desk

Trip-wireConsequenceFix before upload
Author names / identifying acknowledgments in the fileanonymity brokenstrip them; use system fields
"in our prior study" wordingde-anonymizes the authorneutralize to "in a prior study"
Endnotes/references left out of word countover the target on recountcount text + endnotes + references
No / vague Data Availability Statementdesk return under policyname archive, version, access condition
Statistical paper, no package planstalls at conditional acceptanceassemble the package now

Worked micro-example (illustrative)

An author preps a comparative panel paper for ScholarOne upload.

Body + endnotes + references: 8,140 words → near ~8,000; brief justification added for the extra
Abstract: 192 words, no institutions named → within ≤200
Anonymity sweep: 4 self-citations reworded; acknowledgments removed; document properties cleared
DAS: ESS open + register via DUA, code provided → drafted
Package: master.R + harmonization + README + seed=2026, deposited on Zenodo (statistical → not exempt)

Caps verified on a recount including endnotes and references, a clean anonymity sweep, and the data statement plus package ready — the most common avoidable returns pre-empted before upload.

Editor pushback → ESR-specific fix

  • "We could identify the authors." → Re-run the anonymity sweep on wording, acknowledgments, funding lines, and metadata; identifiers belong only in the ScholarOne fields.
  • "Over length." → Recount with endnotes and references; prune citation strings and endnotes, or argue the contribution justifies the length (hand to eursr-writing-style).
  • "Data statement insufficient." → Name the archive/provider, data version, and exact access condition (hand to eursr-transparency-and-data).

Calibration anchors

  • Anonymity is the highest-frequency failure. At a double-blind journal, an under-anonymized file is the most common avoidable cause of a return.
  • Endnotes and references count. ESR's target includes them — budget for them early.
  • The DAS and package are gating, not optional. A required data statement and (for statistical work) a replication package are part of the submission posture; treat volatile dates/figures as provisional and verify live.

Anti-patterns

  • Leaving author names, affiliations, or identifying acknowledgments in the manuscript
  • Treating endnotes/references as outside the word count — they count toward ~8,000
  • Abstract over 200 words
  • A missing or vague Data Availability Statement
  • Submitting elsewhere while under ESR review

Output format

【Type】Article (~8,000) / Comment-Reply / Data-Brief — cap met or length justified? [Y/N]
【Anonymous】no identifiers + self-refs neutralized + metadata clean? [Y/N]
【Abstract】word count (≤200), non-identifying?
【Style】English + author-date consistent? [Y/N]
【DAS + package】statement drafted + package ready (or exemption noted)? [Y/N]
【Next】await decision → eursr-rebuttal on R&R

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

SKILL.md and 1 other file in European-Sociological-Review-Skills/skills/eursr-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Eursr Submission 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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Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Eursr Submission

What does Eursr Submission do?

A skill your agent uses when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps…. Eursr Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for the European Sociological Review (ESR) via ScholarOne Manuscripts — anonymous-manuscript preparation, word/abstract caps, OUP author-date style, the Data Availability Statement, and replication-package readiness.

When should I use Eursr Submission?

Eursr Submission fits situations like: word/abstract caps; OUP author-date style; the Data Availability Statement; replication-package readiness.

How do I install Eursr Submission in Claude Code?

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

How do I install Eursr Submission in Codex?

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

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

What does Eursr Submission need to run?

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

Does Eursr Submission 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 Submission 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 Submission use?

Eursr Submission 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 Submission use?

About 2k tokens (SKILL.md is roughly 7.8k 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 Submission?

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Who maintains Eursr Submission?

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.