A skill your agent uses when deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e., whether it is genuinely about market microstructure / how markets trade rather than…

MITAuto-check passedResearch & Science

Install Jfm Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-topic-selection -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfm-topic-selection --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/Journal-of-Financial-Markets-Skills/skills/jfm-topic-selection .claude/skills/jfm-topic-selection && 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
jfm-topic-selection
GitHub stars
1.2k
Token cost
~2.2k tokens
SKILL.md length
1,102 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e., whether it is genuinely about market microstructure / how markets trade rather than…

  • Deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e.
  • SKILL.md covers When to trigger, The JFM fit test, Where JFM is the better home… and Worked triage (illustrative), plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing

What it does

Jfm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e., whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing or corporate finance. Scopes and reroutes; it does not invent evidence or citations.

Its SKILL.md is about 2.2k 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, covering Citation management. 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

  • Deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e.
  • Whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing
  • Corporate finance

Example prompts

  • “/jfm-topic-selection”

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

Jfm Topic Selection loads about 2.2k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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). 1,102 words, ~2,174 tokens.

Download SKILL.mdSave it as .claude/skills/jfm-topic-selection/SKILL.md (or your agent's skills folder).
name
jfm-topic-selection
description
Use when deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e., whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing or corporate finance. Scopes and reroutes; it does not invent evidence or citations.

Topic Selection (jfm-topic-selection)

When to trigger

  • The paper studies trading, liquidity, prices, or order flow, and you must decide JFM vs. JF / JFE / RFS / JFQA
  • A coauthor says "we have liquidity in the regressions" but the mechanism is really a corporate-finance or macro story
  • The dataset is microstructure-grade (TAQ, LOBSTER, proprietary order book) but the question may be too broad to interest microstructure referees
  • A referee elsewhere wrote "this is not really a markets paper"
  • You need to decide if a structural/macro asset-pricing result has a sharp microstructure cut worth carving out for JFM

The JFM fit test

JFM publishes research on how securities are traded and priced — the design and analysis of trading mechanisms, optimal order placement, the role of information in markets, liquidity, and price discovery. The clean test is the mechanism question: Does the paper's central economic force live inside the trading process? If you can restate the contribution without referencing spreads, depth, order flow, market design, information asymmetry among traders, or price formation, it is probably not a JFM paper.

The question is really about…Microstructure cut that makes it JFMIf no such cut
A firm event (M&A, earnings, issuance)How information enters prices via trading (PIN/VPIN, price impact, adverse selection)→ corporate finance / JF / JFE
A cross-sectional return premiumWhether it is a liquidity/illiquidity premium with a trading mechanism→ broad asset pricing / RFS / JFQA
A regulationIts effect on market quality (spreads, depth, fragmentation, price discovery)→ law-econ / banking
Institutional behaviorTheir order-submission / execution / trading footprint→ institutions / JF
Crypto / new venuesThe market microstructure of the venue (AMMs, latency, fragmentation)→ fintech generalist

Where JFM is the better home than its siblings

  • The contribution is a measurement or mechanism advance in liquidity/price impact/discovery rather than a new risk factor or governance result.
  • The paper exploits an exogenous market-structure change (tick-size pilot, decimalization, circuit breakers, venue entry/exit, MiFID/Reg NMS rules) as the identifying variation.
  • It is specialist-deep: high institutional fidelity to one market's plumbing, where JF/RFS would want broader generality but JFM rewards the depth.
  • A clean microstructure theory paper (Kyle, Glosten-Milgrom, Easley-O'Hara lineage) with testable implications, even if the empirics are modest.

Worked triage (illustrative)

A draft studies how passive-fund ownership affects stock returns. Pitched as-is, it is a broad asset-pricing / institutions paper for JF or RFS, not JFM. The microstructure cut that would make it JFM: show that index-inclusion forced trading changes the stock's price-impact function and quoted depth around the rebalance, and that the return effect operates through this liquidity channel. Now the contribution lives in the trading process — measured in bps of impact and shares of depth — and the rebalance is an exogenous order-flow shock. Same data, repositioned around the mechanism, becomes a JFM paper. If no such trading-process channel can be isolated, route it back to a broad-finance venue rather than thinning it into a weak JFM fit.

Scoping by asset class

JFM publishes across equities, options, fixed income (Treasuries, corporate bonds), FX, and increasingly crypto/AMMs — but the market-structure detail must be right for that asset. An equity-microstructure framing (continuous limit-order book, Lee-Ready) does not transfer unmodified to OTC corporate bonds (dealer-intermediated, TRACE) or to FX (decentralized, no consolidated tape). Name the actual market architecture; a referee who trades that market will spot a borrowed framing instantly.

Theory vs. empirics: both have a JFM home, on different terms

JFM publishes microstructure theory (a model in the Kyle / Glosten-Milgrom / Easley-O'Hara lineage) as well as empirics, but the fit test differs. A theory paper must yield testable predictions about observable market quantities — spreads, depth, price impact, the speed of price discovery — not just an elegant equilibrium. An empirical paper must measure those quantities credibly and connect them to a mechanism. A paper that is pure theory with no market-observable implication, or pure data-mining with no mechanism, fails the fit test from opposite directions. When in doubt, ask: what would a trader or an exchange learn from this about how the market works?

Show full SKILL.md (445 more words)Show less

Quick desk-reject self-screen

Before committing to JFM, run the three fastest desk-reject filters: (1) Mechanism — strip the microstructure words; if the paper still stands, it is not JFM. (2) Granularity — does the data resolution match the claim (intraday/order-book for an impact or discovery claim, not daily aggregates)? (3) Specialist depth — would a microstructure referee learn something new about market plumbing, or only confirm a broad-finance prior? Failing any of the three means reframe-for-JFM or reroute — do not submit and hope.

Checklist

  • The one-sentence claim names a trading-process object (spread, depth, impact, order flow, discovery, venue, information asymmetry)
  • The paper survives the mechanism test: it cannot be restated without microstructure vocabulary
  • You can state in one line why this is JFM and not JF/JFE/RFS (specialist depth or microstructure mechanism, not broad generality)
  • The market and instruments are named precisely (equities/options/Treasuries/FX/crypto; lit vs. dark; venue)
  • The data granularity matches the claim (quote/trade-level for impact claims, not daily aggregates)
  • Process facts cited are in resources/official-source-map.md or marked 待核实

Sizing the contribution to JFM, not above or below it

JFM is a strong field journal, not a top-3 generalist, and the contribution should be sized accordingly. A result big and broad enough to reshape how all of finance thinks may belong at JF/RFS and would be under-placed at JFM; a result that merely re-confirms a known microstructure fact in one more sample is too thin. The JFM sweet spot is a genuine advance in understanding a trading-process mechanism — a new measure, a new identifying market-structure shock, a tested theoretical prediction, or the first careful study of a new venue/asset's microstructure — that a specialist audience will find both novel and credible. Calibrate the framing to that level: do not oversell a field contribution as a paradigm shift, and do not undersell a real mechanism advance as a minor robustness note.

Common mis-targets and where they actually go

  • Return-predictability with intraday data but no trading mechanism → broad asset pricing (RFS/JFQA).
  • Bank or intermediary balance-sheet effects on lending → banking/corporate (JF/JFE).
  • A pure econometric estimator with a finance illustration → an econometrics or quant-finance journal.
  • Investor-behavior survey with no market-quality outcome → behavioral finance generalist.

If the paper keeps drifting toward one of these, that is the signal to reroute rather than force a thin JFM framing.

Anti-patterns

  • "Liquidity as a control variable" dressed up as a microstructure contribution
  • Pitching a broad return-predictability result to JFM because it happens to use intraday data
  • Claiming venue/market-design relevance without describing the actual matching/auction/priority rules
  • Assuming a top-3-finance reject "steps down" cleanly to JFM — JFM wants microstructure depth the broad paper may lack
  • Inventing an exemplar JFM paper instead of verifying it in the official archive

Output format

text
【Journal】Journal of Financial Markets (JFM)
【Skill】jfm-topic-selection
【Mechanism test】passes / fails — the trading-process object is: <…>
【Verdict】fit / reframe-for-JFM / reroute to JF·JFE·RFS·JFQA
【Why JFM not siblings】<specialist depth or microstructure mechanism>
【Data granularity】matches the claim? <quote/trade/order-book vs. daily>
【Source status】verified URL / 待核实 / not asserted
【Next skill】jfm-literature-positioning

© 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 Journal-of-Financial-Markets-Skills/skills/jfm-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence

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Questions about Jfm Topic Selection

What does Jfm Topic Selection do?

A skill your agent uses when deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e., whether it is genuinely about market microstructure / how markets trade rather than…. Jfm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills., whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing or corporate finance.

When should I use Jfm Topic Selection?

Jfm Topic Selection fits situations like: deciding whether a question belongs at the Journal of Financial Markets (JFM) — i.e; whether it is genuinely about market microstructure / how markets trade rather than broad asset pricing; corporate finance.

How do I install Jfm Topic Selection in Claude Code?

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

How do I install Jfm Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfm-topic-selection -a codex`. Or copy the skill folder (Journal-of-Financial-Markets-Skills/skills/jfm-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jfm-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Jfm Topic Selection 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 jfm-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jfm-topic-selection, .gemini/skills/jfm-topic-selection, .github/skills/jfm-topic-selection and .opencode/skills/jfm-topic-selection in your project.

What does Jfm Topic Selection need to run?

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

Does Jfm Topic Selection 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 Jfm Topic Selection 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 Jfm Topic Selection use?

Jfm Topic Selection 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 Jfm Topic Selection use?

About 2.2k tokens (SKILL.md is roughly 8.7k 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 Jfm Topic Selection?

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Who maintains Jfm Topic Selection?

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.