Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files…

MITAuto-check passedData & Analytics

Install Sci Submission

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

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

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

At a glance

Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files…

  • An editorial bounce is left unresolved
  • SKILL.md covers When to trigger, Master preflight checklist, Final integrity sweep and Templates, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Statistics

What it does

Sci Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files, so nothing that triggers an editorial bounce is left unresolved. Bundles ready-to-fill templates.

Its SKILL.md is about 1.2k 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/cover_letter_template.md`).

It sits in Data & Analytics, covering Statistics. 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

  • An editorial bounce is left unresolved
  • Tasks that involve Statistics

Example prompts

  • “/sci-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

Sci Submission loads about 1.2k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 506 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 506 words, ~1,223 tokens.

Download SKILL.mdSave it as .claude/skills/sci-submission/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
sci-submission
description
Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files, so nothing that triggers an editorial bounce is left unresolved. Bundles ready-to-fill templates.

Submission Preflight (sci-submission)

When to trigger

  • The manuscript is "done" and you're about to upload.
  • You want a single gate that confirms every other sci-* skill's output landed.
  • A revision is going back and you need to confirm nothing regressed.

Master preflight checklist

Significance & framing
  • Clears the broad-significance / general-interest bar (sci-fit rung ≥ 3).
  • One-sentence advance present and demonstrated (not asserted).
  • Title is declarative, specific, < ~90 characters.
Format & length
  • Format chosen (Report ~2,500 w / ≤4 items, or Research Article ~4,500 w / ≤6 items).
  • Main-text word count within budget; Methods in Supplementary (for Reports).
  • Results ordered by argument, claim-first paragraphs.
Abstract & summary
  • One-sentence summary ≤ ~125 characters, not a title paraphrase.
  • Abstract ≤ ~125 words, no subheadings/citations, ≥1 quantified result.
Figures & display items
  • Within item budget; sized to 5.5/12/18 cm; fonts ≥ 6 pt.
  • Data shown (points + n); error bars defined; scale bars present.
  • Colorblind-safe; uncropped key blots + source data retained.
Statistics & reproducibility
  • Each claim: effect size + CI + n + test + assumptions.
  • Biological vs technical replication clear; sample-size rationale stated.
  • Randomization/blinding reported or justified; multiplicity controlled.
  • Analysis code public + archived (DOI).
Data, materials, ethics
  • Data deposited with accession numbers/DOIs (no "on request" for primary data).
  • Data-availability statement drafted and compliant.
  • Materials/reagent sharing plan; ethics approvals (IRB/IACUC/permits) as needed.
References
  • Science numbered style, ordered by appearance, one continuous list (incl. SM).
  • Full author lists; journal abbreviations; all in-text numbers resolve.
Required files & metadata
  • Main text (with title, one-sentence summary, abstract, refs).
  • Figures at required resolution + figure legends.
  • Supplementary Materials (Materials and Methods, supp figs/tables, captions).
  • Cover letter (significance-forward).
  • Author list, affiliations, ORCIDs, corresponding author.
  • Author contributions (CRediT), competing interests, funding.
  • Suggested/opposed reviewers (if used).

Final integrity sweep

  • No over-claiming beyond the evidence (re-read the abstract and last paragraph).
  • Every figure's n, error bar, and test are defined in its legend.
  • All accession numbers/DOIs are live and correct.
  • Manuscript is anonymized only if double-blind is requested (Science is typically single-blind — confirm).
Show full SKILL.md (193 more words)Show less

Templates

  • templates/checklist.md — copyable preflight checklist.
  • templates/cover_letter_template.md — significance-forward cover letter scaffold.

Submission pass for Science

Use this as a second-pass capability check. First lock the broad discovery claim, decisive evidence, uncertainty/limitations, and why the result belongs in a general-science weekly; then test whether the manuscript addresses general-science reviewers and editors who ask whether the result changes a broad field, is technically decisive, and can be understood outside the subdiscipline.

  • Primary move: Verify article type, file package, length/display limits, reporting statements, data/code, ethics, competing interests, and current official instructions.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Neighbor test: compare against Nature for similar broad-scope novelty, PNAS for academy-wide breadth, specialist journals when the claim is field-internal; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
  • Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Blocking gaps】 [...]  (must fix before upload)
【Warnings】 [...]       (should fix)
【Files ready】 main / figures+legends / SM / cover letter / metadata
【Verdict】 GO / NO-GO + the top 3 fixes
【Next】 submit | sci-rebuttal (after decision)

Anti-patterns

  • Do not upload before accession numbers/DOIs exist.
  • Do not skip the integrity sweep — over-claiming is a top rejection reason post-review.
  • Do not rely on memory; run the checklist top to bottom.

© 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 Science-Skills/skills/sci-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md
  • templates/cover_letter_template.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sci 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.

Sci Submission compared with similar skills
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Sci Submission this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Statistical Powerspacering-net/codeg3.9k1 repos~3.6kAutomated safety check: NotesMIT
Statistical Data Analysislingzhi227/agent-research-skills390—~886Automated safety check: PassNone
Q-EDA Exploratory AnalysisTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT
RoundingRConsortium/pharma-skills120—~3.8kAutomated safety check: PassMIT
PyMC Bayesian Modelingdavila7/claude-code-templates33k11 repos~3.9kAutomated safety check: PassMIT

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Questions about Sci Submission

What does Sci Submission do?

Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files…. Sci Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use as the final preflight before submitting to Science (AAAS) — a complete checklist across significance, format, figures, statistics, data availability, references, and required submission files, so nothing that triggers an editorial bounce is left unresolved.

When should I use Sci Submission?

Sci Submission fits situations like: an editorial bounce is left unresolved; tasks that involve Statistics.

How do I install Sci Submission in Claude Code?

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

How do I install Sci Submission in Codex?

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

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

What does Sci Submission need to run?

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

Does Sci 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 Sci 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 Sci Submission use?

Sci 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 Sci Submission use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Sci Submission?

Skills that share tags, products or a category with Sci Submission: Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Rounding (RConsortium/pharma-skills, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sci 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.