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Agent skill

Smr Submission

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word…

MITAuto-check passed

Install Smr Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills smr-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/Sociological-Methods-and-Research-Skills/skills/smr-submission .claude/skills/smr-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
smr-submission
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
610 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 Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word…

  • Works in 6 steps: Venue facts: reopen… → Anonymization: scan the main document,… → Conformance: abstract word count and… → …
  • Running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization
  • SKILL.md covers Preflight, Final-hour order, Worked preflight: a… and ScholarOne slip list, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Smr Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word non-parenthetical abstract, data-and-code availability statement, AI disclosure, and file formats. Preflights the submission; does not draft the science.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/checklist.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

  • Running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization
  • Separate title page
  • ≤150-word non-parenthetical abstract
  • Data-and-code availability statement

Example prompts

  • “/smr-submission”

Workflow steps

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

  1. Venue facts: reopen resources/official-source-map.md and verify portal, review model, abstract
  2. Anonymization: scan the main document, exhibits, code, and PDF metadata for author identity;
  3. Conformance: abstract word count and parenthetical-citation check; ASA reference pass; file
  4. Scientific gate: read the introduction only — it must state the method contribution, the
  5. Reproducibility gate: confirm the availability statement and that the (anonymized) code/scripts
  6. Administrative gate: ScholarOne metadata (keywords, ORCID self-link), conflict-of-interest and

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

Smr Submission loads about 1.3k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 610 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 610 words, ~1,346 tokens.

Download SKILL.mdSave it as .claude/skills/smr-submission/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
smr-submission
description
Use when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word non-parenthetical abstract, data-and-code availability statement, AI disclosure, and file formats. Preflights the submission; does not draft the science.

SMR Submission

Use this immediately before submitting through ScholarOne Manuscripts. Reverify every volatile item on the live SAGE author page first; portals and policies change.

Preflight

  • Confirm submission goes through ScholarOne Manuscripts for SMR; create/log in to the Author Center and start a new submission (检索于 2026-06；以官网为准).
  • Prepare a separate title page and an anonymized main document — SMR uses double-anonymized review, so the main file must carry no author-identifying content.
  • Accepted file formats are Word, LaTeX, or PDF (检索于 2026-06；以官网为准).
  • Citations and references in ASA style; dataset references in DataCite style.
  • Abstract ≤150 words with no parenthetical citations.
  • Include the data-and-code availability statement describing how data, code, and materials can be permanently accessed (repository/DOI, access conditions for restricted data).
  • Add the generative-AI disclosure in the back matter if AI tools were used; if not, none is needed.
  • Fees: there is no submission fee (verified 2026-06-22); open access is optional and paid via Sage Choice (a figure around US$3,900 + taxes surfaced on the SAGE author page — confirm the current charge on the live SAGE OA page before quoting).
  • No hard word/length limit is stated for SMR; treat any circulating "~10,000 words" figure as descriptive, not a cap (需复核 on the live author page).
  • If submitting a revision, respond to each reviewer comment by copying the comment verbatim and replying beneath it.
  • Confirm the methods-paper completeness: contribution + derived properties + simulation + empirical illustration + released software.

Final-hour order

  1. Venue facts: reopen resources/official-source-map.md and verify portal, review model, abstract limit, citation style, data policy, AI policy, and any fee against live SAGE pages.
  2. Anonymization: scan the main document, exhibits, code, and PDF metadata for author identity; move all identity to the separate title page.
  3. Conformance: abstract word count and parenthetical-citation check; ASA reference pass; file format; figure/table format.
  4. Scientific gate: read the introduction only — it must state the method contribution, the problem it solves, and the evidence types without relying on later sections.
  5. Reproducibility gate: confirm the availability statement and that the (anonymized) code/scripts reproduce the main exhibits.
  6. Administrative gate: ScholarOne metadata (keywords, ORCID self-link), conflict-of-interest and funding declarations, preregistration statement if applicable.
Show full SKILL.md (256 more words)Show less

Worked preflight: a missing-data estimator vignette

Illustrative run on a hypothetical new IPW-plus-imputation estimator paper:

  1. Venue facts reopened: review model (double-anonymized), abstract rule, and availability policy reverified on live SAGE pages; one wording change noted in the source map.
  2. Anonymization: the main PDF's metadata still carried the author name and the code README said "developed at [University]." Both stripped; identity moved to the title page.
  3. Conformance: abstract is 168 words and contains "(Rubin 1987)" — cut to 147 words and rewritten as "Rubin (1987)." ASA reference pass fixes three hand-formatted entries.
  4. Scientific gate: the introduction names the incumbent (complete-case / single MI), its failure regime (informative missingness), the contribution, and that proofs + simulation + an illustration on public survey data support it.
  5. Reproducibility gate: the anonymized repository's master script reproduces the grid in a smoke-test run; availability statement points to the blinded archive, with the public DOI to be revealed at acceptance.
  6. Administrative gate: ORCID self-linked, COI and funding declared.

Result after fixes: 147-word non-parenthetical abstract, fully anonymized files, availability statement present — submit.

ScholarOne slip list

  • Author identity left in the main document, exhibits, code, or PDF metadata under double-anonymized review.
  • Abstract over 150 words or containing parenthetical citations.
  • References not in ASA style; dataset references not in DataCite style.
  • Availability statement missing, vague ("available on request"), or deferred to acceptance.
  • AI-use undisclosed where generative tools were used.
  • Revision response that paraphrases rather than copies each reviewer comment verbatim before replying.
  • ScholarOne metadata (keywords, ORCID, COI, funding) inconsistent with the manuscript.

Output format

text
[Submission readiness] Ready / Needs fixes / Not ready
[Anonymization] clean / identity found where
[Format checks] <abstract words/parenthetical cites/ASA/file format>
[Reproducibility] availability statement + code reproduce exhibits? yes/no
[Administrative] <ScholarOne metadata / ORCID / COI / funding / AI disclosure>
[Blocking fix] <one issue to resolve first>

© 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 Sociological-Methods-and-Research-Skills/skills/smr-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Smr 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.

Smr Submission compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Smr Submission this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
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Santa Methodaffaan-m/ECC277k3 repos~3.1kAutomated safety check: PassMIT
Santa Methodaffaan-m/ECC276k—~2.1kAutomated safety check: PassMIT
Santa Methodaffaan-m/ECC276k—~1.9kAutomated safety check: PassMIT
Sociology Research Methodswentorai/research-plugins2981 repos~1.9kAutomated safety check: PassMIT

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Questions about Smr Submission

What does Smr Submission do?

A skill your agent uses when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word…. Smr Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word non-parenthetical abstract, data-and-code availability statement, AI disclosure, and file formats.

When should I use Smr Submission?

Smr Submission fits situations like: running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization; separate title page; ≤150-word non-parenthetical abstract; data-and-code availability statement.

How do I install Smr Submission in Claude Code?

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

How do I install Smr Submission in Codex?

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

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

What does Smr Submission need to run?

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

Does Smr 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 Smr 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 Smr Submission use?

Smr 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 Smr Submission use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Smr Submission?

Skills that share tags, products or a category with Smr Submission: Final Method Explainer (zhnnky329/MathModeling-skills, 1.1k stars), Santa Method (affaan-m/ECC, 277k stars), Santa Method (affaan-m/ECC, 276k stars) and Santa Method (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Smr 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.