A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements…

MITAuto-check passed

Install Arsoc Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-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/Annual-Review-of-Sociology-Skills/skills/arsoc-submission .claude/skills/arsoc-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
arsoc-submission
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
680 words
Files
3
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements…

  • Reference/format compliance
  • SKILL.md covers When to trigger, Process facts (检索于…, Preflight checklist and Anti-patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Figure permissions

What it does

Arsoc Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency of the coverage account or any meta-analysis the review contains. Final checks; it does not draft content or handle the response letter (arsoc-revision).

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `templates/checklist.md` and `templates/manuscript_template.md`).

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

  • Reference/format compliance
  • Figure permissions
  • The transparency of the coverage account
  • Any meta-analysis the review contains

Example prompts

  • “/arsoc-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

Arsoc Submission loads about 1.7k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 680 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
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). 680 words, ~1,667 tokens.

Download SKILL.mdSave it as .claude/skills/arsoc-submission/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
arsoc-submission
description
Use when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency of the coverage account or any meta-analysis the review contains. Final checks; it does not draft content or handle the response letter (arsoc-revision).

Delivery Preflight (arsoc-submission)

When to trigger

  • "Delivering soon" — last check before handing the commissioned review to Annual Reviews
  • Unsure which files, declarations, and permissions the production system expects
  • Confirming reference style, format, and figure specs are Annual Reviews-compliant
  • Verifying transparency obligations for the coverage account and any quantitative synthesis the review reports

Process facts (检索于 2026-06;以官网为准 — re-confirm on the Annual Reviews author pages)

  • Publisher / venue. ARSoc is published by Annual Reviews (nonprofit), founded 1975 (ISSN 0360-0572 print / 1545-2115 online), as an annual volume; it is a review series, distinct from ASR/AJS (sociology's primary-research flagships), Sociological Theory (theory development), and the sister Annual Reviews of Psychology/Economics. Articles are invitation-led: "experienced researchers are invited by journals' Editorial Committees to write Annual Reviews articles." There is no cold-submission portal for unsolicited manuscripts — delivery happens within the invited-article workflow (检索于 2026-06;以官网为准).
  • How a topic gets onto the list / suggesting one. There is no public author-submission portal; the Editorial Committee sets the topic list and issues invitations. The source map records no formal author topic-proposal channel, so if you want to propose a topic or be considered, route it informally to the Editorial Committee (see the Editorial Committee page) — 待核实 whether a formal proposal mechanism exists; confirm on the author pages (检索于 2026-06;以官网为准).
  • Review/acceptance bar. Annual Reviews states that review selections are assessed for accuracy, rigor, and balance (检索于 2026-06;以官网为准).
  • Editors. Co-editors Douglas S. Massey & Mary C. Waters (co-editors since Aug 2023; verified 2026-06-22 — re-confirm on the Editorial Committee page, editors rotate).
  • Open access / fees. Current volumes are published open access under the Subscribe-to-Open (S2O) model: Annual Reviews announced the S2O commitment in 2023 and reports that in 2024 all volumes were successfully published OA. S2O is library/subscriber-funded, not author-funded, so it is not a pay-to-publish APC; treat any author-facing fee as 待核实 on the author pages (检索于 2026-06;以官网为准).
  • Disclosure (required). Annual Reviews requires authors to disclose potential sources of bias / conflicts of interest; funding sources are stated. Prepare the disclosure as the author pages specify (检索于 2026-06;以官网为准).
  • Transparency of the review itself. A pure review reports no new data. The transparency obligation bites on your coverage account (a documented, near-PRISMA-style search/selection record, from arsoc-transparency-and-reproducibility) and on any meta-analysis/bibliometric analysis you contribute — its data and code should be reproducible and depositable (检索于 2026-06;以官网为准).
  • Reference & format style. Annual Reviews applies its own house format and reference style (distinct from ASA author-date) at production; the production editor copyedits to house style, so the delivered draft need not pre-conform, but reference data must be complete and accurate (检索于 2026-06;以官网为准).
  • Figures / permissions. Confirm figure specs and secure permission for any reproduced exhibit (检索于 2026-06;以官网为准).
  • Length / abstract limits. Exact word/abstract/keyword limits are 待核实 and are not asserted from the source map — they are article-specific delivery facts set by the current author resources and your editor correspondence; confirm there rather than assuming a number (检索于 2026-06;以官网为准).
Show full SKILL.md (205 more words)Show less

Preflight checklist

Article & files
  • This is a commissioned/invited article delivered in the invited-article workflow (not a cold submission)
  • Manuscript complete; references complete and accurate (house style applied at production)
  • Title page: title, complete author affiliations, keywords; abstract in review style
  • Figures meet current specs; reproduced exhibits have permission and attribution
Transparency
  • Coverage account documented (search strategy, inclusion/exclusion, saturation) — near-PRISMA where applicable
  • Any meta-analysis/bibliometrics the review reports: data + code reproducible and depositable (DOI)
Declarations
  • Conflict-of-interest / potential-bias disclosure prepared per Annual Reviews policy
  • Funding sources stated
  • AI not listed as an author
Volatile re-confirms
  • Exact length/abstract limits, current reference style, figure specs, disclosure format, S2O/OA status, current editors — re-checked on the Annual Reviews author pages (检索于 2026-06)

Anti-patterns

  • Treating ARSoc like a journal with a cold-submission portal — it is invited; deliver through the commissioned workflow
  • Treating S2O open access as a pay-to-publish APC (it is not author-funded under S2O)
  • Omitting the conflict-of-interest / bias disclosure Annual Reviews requires
  • Asserting a length limit, fee, or editor name from memory rather than the live author pages
  • Delivering a meta-analysis with no reproducible data/code, or a review with no documented coverage account

Output format

text
【Article type】commissioned/invited review (not cold submission)? Y/N
【References】complete + accurate (house style at production)? Y/N
【Abstract + front matter】review-style abstract, keywords, affiliations? Y/N
【Transparency】coverage account documented; meta-analysis (if any) reproducible? Y/N
【Disclosure】COI / bias disclosure + funding prepared? Y/N
【Figures】specs met; permissions secured? Y/N
【Volatile re-confirms】length / style / OA / disclosure / editors checked on Annual Reviews pages? Y/N
【Next step】deliver to Annual Reviews → arsoc-revision after the Committee letter

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 2 other files in Annual-Review-of-Sociology-Skills/skills/arsoc-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md
  • templates/manuscript_template.md

Open the folder on GitHubat commit 932eb23

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Finalize Agent Promptgithub/awesome-copilot40k1 repos~224Automated safety check: PassMIT
Azure Deployment Preflightgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT
Implementation Final Reviewopenai/openai-agents-python30k—~2kAutomated safety check: PassMIT

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Questions about Arsoc Submission

What does Arsoc Submission do?

A skill your agent uses when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements…. Arsoc Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final delivery preflight for a commissioned Annual Review of Sociology (ARSoc) review via the Annual Reviews production system — disclosure statements, reference/format compliance, figure permissions, and the transparency of the coverage account or any meta-analysis the review contains.

When should I use Arsoc Submission?

Arsoc Submission fits situations like: reference/format compliance; figure permissions; the transparency of the coverage account; any meta-analysis the review contains.

How do I install Arsoc Submission in Claude Code?

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

How do I install Arsoc Submission in Codex?

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

Can I use Arsoc 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 arsoc-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/arsoc-submission, .gemini/skills/arsoc-submission, .github/skills/arsoc-submission and .opencode/skills/arsoc-submission in your project.

What does Arsoc Submission need to run?

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

Does Arsoc 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 Arsoc 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 Arsoc Submission use?

Arsoc 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 Arsoc Submission 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 Arsoc Submission?

Skills that share tags, products or a category with Arsoc Submission: Delivery Gate (affaan-m/ECC, 276k stars), Running CI Preflight (PostHog/posthog, 40k stars), Finalize Agent Prompt (github/awesome-copilot, 40k stars) and Azure Deployment Preflight (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arsoc 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.