Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist.

Custom licenceAuto-check: notesResearch & Science

Install Submission Prep

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill submission-prep -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills submission-prep --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/submission-prep .claude/skills/submission-prep && 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
submission-prep
GitHub stars
4.6k
Token cost
~747 tokens
SKILL.md length
266 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist.

  • Works in 9 steps: Render the manuscript if _manuscript/… → Word count — Count words in the prose… → Anonymization check — Scan index.qmd for… → …
  • Tasks that involve Scientific writing
  • Calls bash
  • Tasks that involve Citation management

What it does

Submission Prep is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist. Use before journal submission.

Its SKILL.md is about 750 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 Scientific writing and Citation management. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Scientific writing
  • Tasks that involve Citation management

Example prompts

  • “/submission-prep”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep

Workflow steps

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

  1. Render the manuscript if _manuscript/ does not exist or is stale
  2. Word count — Count words in the prose body of index.qmd
  3. Anonymization check — Scan index.qmd for content that may violate double-blind review
  4. Citation audit — Cross-check citations and references
  5. Figures and tables inventory — List all embedded outputs
  6. Placeholder check — Scan for orphan [FILL:] placeholders in index.qmd
  7. Cross-reference check — Scan for @sec-, @fig-, @tbl- references in index.qmd and verify each target exists (section IDs in the document…
  8. Generate submission checklist
  9. Report the full checklist with pass/fail status for each automated check, and leave manual items unchecked for the user.

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash

    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

Submission Prep loads about 747 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 266 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~747

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Glob, Grep

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 266 words (~747 tokens).

“Run pre-submission checks and generate a submission checklist for a journal submission.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
submission-prep
allowed-tools
Bash, Read, Write, Edit, Glob, Grep

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/29-quarcs-lab-project20XXy/dot-claude/skills/submission-prep of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Submission Prep 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.

Submission Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Submission Prep this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~747Automated safety check: NotesCustom licence
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic HumanizerAIScientists-Dev/academic-humanizer1.9k1 repos~4.2kAutomated safety check: PassMIT
Academic Research Suite for CodexImbad0202/academic-research-skills-codex12k—~12kAutomated safety check: PassCustom licence

Similar skills

  • Citation Verification Guide

    Galaxy-Dawn/claude-scholar

    Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.

    5.7k GitHub starsUsed in 2 repos~1.9k tokens
    Research & ScienceAuto-check passed
  • Citation Management

    K-Dense-AI/claude-scientific-writer

    Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.

    2.4k GitHub starsUsed in 2 repos~3.9k tokens
    Research & ScienceAuto-check: notes
  • Academic Paper Writing Pipeline

    Imbad0202/academic-research-skills

    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

    51k GitHub stars~16k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Humanizer

    AIScientists-Dev/academic-humanizer

    Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and funding proposals (NSF Project Summary/Description, NIH Specific Aims): preserve scholarly conventions…

    1.9k GitHub starsUsed in 1 repo~4.2k tokens
    Research & ScienceAuto-check passed
  • Academic Research Suite for Codex

    Imbad0202/academic-research-skills-codex

    A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.

    12k GitHub stars~12k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed
  • Autonomous Research

    federicodeponte/opendraft

    An 18-agent pipeline that turns one topic line into a drafted research paper, literature review, or thesis chapter.

    507 GitHub stars~8.2k tokensUpdated 8 days ago
    Research & ScienceAuto-check passed

More from brycewang-stanford/Auto-Empirical-Research-Skills

All 383 skills in this repo
  • Aer Consistency

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…

    4.6k GitHub starsUsed in 1 repo~2.6k tokens
    Auto-check passed
  • Latex Paper En

    brycewang-stanford/Auto-Empirical-Research-Skills

    English LaTeX academic paper assistant for existing .tex projects.

    4.6k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Bayesian Workflow

    brycewang-stanford/Auto-Empirical-Research-Skills

    Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

    4.6k GitHub stars~3.5k tokensUpdated 5 days ago
    Auto-check passed
  • Daily Paper Generator

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…

    4.6k GitHub stars~2.2k tokensUpdated 5 days ago
    Auto-check passed
  • Five Questions

    brycewang-stanford/Auto-Empirical-Research-Skills

    Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.

    4.6k GitHub stars~1.7k tokensUpdated 5 days ago
    Auto-check: notes
  • Kaggle Research

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…

    4.6k GitHub stars~868 tokensUpdated 5 days ago
    Auto-check passed

Questions about Submission Prep

What does Submission Prep do?

Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist. Submission Prep is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist.

When should I use Submission Prep?

Submission Prep fits situations like: tasks that involve Scientific writing; tasks that involve Citation management.

How do I install Submission Prep in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill submission-prep -a claude-code`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/submission-prep in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/submission-prep in your project. Claude Code loads it when a task matches its description.

How do I install Submission Prep in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill submission-prep -a codex`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/submission-prep in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/submission-prep in your project. Codex loads it when a task matches its description.

Can I use Submission Prep 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/Auto-Empirical-Research-Skills --skill submission-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/submission-prep, .gemini/skills/submission-prep, .github/skills/submission-prep and .opencode/skills/submission-prep in your project.

What does Submission Prep need to run?

Going by SKILL.md and its folder, Submission Prep needs the command-line tools its instructions call (bash). Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep.

Does Submission Prep 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 Submission Prep safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Submission Prep use?

Submission Prep has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Submission Prep use?

About 747 tokens (SKILL.md is roughly 3k 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 Submission Prep?

Skills that share tags, products or a category with Submission Prep: Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Humanizer (AIScientists-Dev/academic-humanizer, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Submission Prep?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.