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Agent skill

Mathfin Review Process

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

A skill your agent uses when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line.

MITAuto-check passedResearch & Science

Install Mathfin Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mathfin-review-process -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mathfin-review-process --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/Mathematical-Finance-Skills/skills/mathfin-review-process .claude/skills/mathfin-review-process && 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
mathfin-review-process
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
611 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line.

  • Works in 5 steps: The main theorem statement — is every… → The assumption block — are filtration,… → The introduction's novelty claim against… → …
  • Navigating the Mathematical Finance (Wiley) review process — single-blind editor screening
  • SKILL.md covers When to trigger, Process facts, What reviewers evaluate and Desk-risk triggers, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mathfin Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line. Explains what reviewers at this theory venue check first, common desk-screen failure patterns for theorem-first papers, and how to read review-stage signals.

Its SKILL.md is about 1.2k 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. 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

  • Navigating the Mathematical Finance (Wiley) review process — single-blind editor screening
  • Associate-editor handling
  • Referees who verify proofs line by line

Example prompts

  • “/mathfin-review-process”

Workflow steps

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

  1. The main theorem statement — is every object in it defined, and is the conclusion sharp
  2. The assumption block — are filtration, integrability, and admissibility conditions stated,
  3. The introduction's novelty claim against the literature the referee knows — usually this
  4. The proof of the most surprising step — referees jump straight to the lemma that seems too
  5. Numerics, if any — only to check they claim nothing the theorems do not license.

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

Mathfin Review Process loads about 1.2k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 611 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
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). 611 words, ~1,246 tokens.

Download SKILL.mdSave it as .claude/skills/mathfin-review-process/SKILL.md (or your agent's skills folder).
name
mathfin-review-process
description
Use when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line. Explains what reviewers at this theory venue check first, common desk-screen failure patterns for theorem-first papers, and how to read review-stage signals.

Review Process (mathfin-review-process)

When to trigger

  • Before submission, to understand the editor and referee lens
  • After submission, to interpret review-stage status
  • When deciding whether a theorem-first paper is ready for this journal

Process facts

The accessible Wiley author-guideline text identifies single-blind peer review: the editor screens submissions, suitable papers may be assigned to an Associate Editor, outside referees may be consulted, and the Associate Editor prepares a recommendation. The current Wiley product-page metadata checked on 2026-06-20 lists Rama Cont as editor; reopen the live product or editorial-board page before naming the editor in advice to an author.

What reviewers evaluate

  • Methodological novelty in financial mathematics
  • Contribution to financial modelling, not only mathematical difficulty
  • Correctness and self-contained completeness of proofs
  • Precision of assumptions and notation
  • Whether numerical experiments support theory rather than substitute for it
  • Fit with the journal's stochastic-analysis and financial-modelling audience

Desk-risk triggers

  • Routine computational application to financial data
  • Missing proof for a central claim
  • Vague assumptions or unbounded generality
  • Contribution framed as pure mathematics with no financial modelling payoff
  • Poor LaTeX/source organization that makes review difficult

What a Mathematical Finance referee reads first

In rough order, before any detailed proof verification:

  1. The main theorem statement — is every object in it defined, and is the conclusion sharp enough to be interesting to a stochastic-analysis readership?
  2. The assumption block — are filtration, integrability, and admissibility conditions stated, and do they look both provable and financially sensible?
  3. The introduction's novelty claim against the literature the referee knows — usually this journal plus Finance and Stochastics and the stochastic-analysis canon.
  4. The proof of the most surprising step — referees jump straight to the lemma that seems too good, and a gap found there colors the entire report.
  5. Numerics, if any — only to check they claim nothing the theorems do not license.

Order your own pre-submission read-through the same way.

Desk-screen failure patterns for theory submissions

  • A model proposed with simulations but no theorem about its formal properties.
  • The main result is a known theorem re-proved in a cosmetically different model.
  • Mathematics with no financial object anywhere in the statements — a probability paper wearing a finance title.
  • Assumptions scattered through prose so the theorems' scope cannot be reconstructed.
  • An abstract promising "applications to trading" that the body never formalizes.
Show full SKILL.md (233 more words)Show less

Reading the silence

Refereeing at proof-checking journals is slow and variable because arguments are verified, not skimmed; months of quiet carry little signal. Avoid folklore about average handling times — confirm any expectations against the journal's current author guidelines or recent author experience. A status query is reasonable after an extended wait; route it through the editorial office.

Reviewer packet

Prepare a compact packet before submission:

  • One sentence naming the financial modelling problem and the mathematical object solved.
  • A theorem map: main result, assumptions, proof tools, and where each proof is located.
  • A novelty note against the two or three closest Mathematical Finance-adjacent papers.
  • A numerical-evidence note, if present, explaining which theorem or modelling implication the exhibit illustrates.
  • A weakness note: the strongest assumption, boundary case, or modelling simplification, with a sentence explaining why it is acceptable.

This packet is not submitted verbatim; it is a discipline check. If you cannot write it, the paper is not ready for the single-blind editor/AE/referee chain.

Decision vocabulary at this venue

Major revision on a theory paper usually means the mathematics is salvageable but at least one proof needs real work; minor revision means exposition and bookkeeping. A reject-with- encouragement signal often points at the novelty axis rather than correctness — treat it as a repositioning task before any re-proof. These labels are not standardized across editors, so read the AE's summary paragraph, not the label.

Output format

text
[Stage] editor screen / AE / referee / decision
[Main risk] novelty / rigor / fit / exposition
[Action] ...
[Next step] mathfin-submission or mathfin-rebuttal

© 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

Just SKILL.md in Mathematical-Finance-Skills/skills/mathfin-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Categories

Questions about Mathfin Review Process

What does Mathfin Review Process do?

A skill your agent uses when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line. Mathfin Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when navigating the Mathematical Finance (Wiley) review process — single-blind editor screening, associate-editor handling, and referees who verify proofs line by line.

When should I use Mathfin Review Process?

Mathfin Review Process fits situations like: navigating the Mathematical Finance (Wiley) review process — single-blind editor screening; associate-editor handling; referees who verify proofs line by line.

How do I install Mathfin Review Process in Claude Code?

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

How do I install Mathfin Review Process in Codex?

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

Can I use Mathfin Review Process 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 mathfin-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mathfin-review-process, .gemini/skills/mathfin-review-process, .github/skills/mathfin-review-process and .opencode/skills/mathfin-review-process in your project.

What does Mathfin Review Process need to run?

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

Does Mathfin Review Process 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 Mathfin Review Process 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 Mathfin Review Process use?

Mathfin Review Process 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 Mathfin Review Process use?

About 1.2k tokens (SKILL.md is roughly 5k 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 Mathfin Review Process?

Skills that share tags, products or a category with Mathfin Review Process: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mathfin Review Process?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.