Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance…
Install Jfqa Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .claude/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.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/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .claude/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .agents/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .agents/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .cursor/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .cursor/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .gemini/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .gemini/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .github/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .github/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection .opencode/skills/jfqa-topic-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jfqa-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection into .opencode/skills/jfqa-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jfqa-topic-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jfqa-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 614 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance…
- Capital and security markets
- SKILL.md covers What JFQA publishes, Fit checklist, Anti-patterns and Fit-scoring rubric (score…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Financial institutions
What it does
Jfqa Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, finance-relevant quantitative methods). Use before investing in a JFQA submission to test scope fit and the quantitative-evidence bar.
Its SKILL.md is about 1.3k 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 Hypothesis generation. 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
- Capital and security markets
- Financial institutions
- Finance-relevant quantitative methods)
Example prompts
- “/jfqa-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
Jfqa Topic Selection loads about 1.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 614 words of instructions outside code blocks.
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). 614 words, ~1,330 tokens.
Download SKILL.mdSave it as
.claude/skills/jfqa-topic-selection/SKILL.md (or your agent's skills folder).- name
- jfqa-topic-selection
- description
- Use when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, finance-relevant quantitative methods). Use before investing in a JFQA submission to test scope fit and the quantitative-evidence bar.
JFQA Topic Selection (jfqa-topic-selection)
Use this skill to test whether a finance question belongs in the Journal of Financial and Quantitative Analysis (JFQA) before you build the paper and pay the $350 submission fee (only $275 refundable if it is not sent to a reviewer).
What JFQA publishes
JFQA covers theoretical and empirical research in financial economics, with a quantitative core:
- Corporate finance — capital structure, payout, governance, M&A, investment.
- Investments / asset pricing — cross-section of returns, factors, anomalies, portfolio choice.
- Capital and security markets — market microstructure, liquidity, price discovery.
- Financial institutions — banks, intermediaries, regulation.
- Quantitative methods relevant to finance.
The name is load-bearing: the journal rewards quantitative analysis — disciplined data, models, and inference — over purely descriptive or institutional essays.
Fit checklist
- Question sits squarely in financial economics, not adjacent (pure macro, accounting-only, generic econometrics).
- There is a quantitative empirical or theoretical answer — not just a narrative.
- The data/design can deliver a clean, defensible result (see jfqa-identification-strategy).
- The contribution is sharp enough to survive a journal that prints < 9% of 1,000+ annual submissions.
- If empirical, the data can be archived (raw or pseudo dataset) under the JFQA Code Sharing Policy.
Anti-patterns
- A descriptive industry study with no quantitative test or model.
- A method paper with no genuine finance application (belongs in an econometrics outlet).
- An incremental anomaly with no economic mechanism or out-of-sample discipline.
- Excessive length that invites desk rejection (JFQA discourages over-long papers).
Fit-scoring rubric (score before you build)
| Dimension | 0 points | 1 point | 2 points |
|---|---|---|---|
| Finance object | none identifiable | adjacent (accounting/macro proxy) | a return, spread, ratio, or institution JFQA readers own |
| Quantitative core | narrative only | descriptive statistics | estimation or a model with testable implications |
| Identification feasibility | pure correlation | plausible design, untested | a named shock, threshold, or restriction |
| Data archivability | data cannot be shared or simulated | pseudo data possible with effort | raw or pseudo data straightforward |
| Novelty at < 9% selectivity | replication-grade | extends a known result | changes a number or conclusion the field uses |
| Length discipline | sprawling multi-question paper | trimmable | one question, one design |
Read the total: 10-12, build for JFQA; 7-9, repair the weakest dimension before writing; 6 or below, retarget the venue or redesign the project.
Show full SKILL.md (258 more words)Show less
Two candidate questions scored (illustrative)
- Candidate A — "Does option-implied information subsume post-earnings-announcement drift?" Finance object 2, quantitative core 2 (options plus stock-return data), identification 1 (predictive design with multiple-testing exposure), archivability 2 (pseudo data is routine), novelty 1, length 2 → 10. Verdict: build it, but write the multiple-testing defense into the design before the first regression.
- Candidate B — "How do fintech lenders talk about their culture?" Scores roughly 3: no finance quantity is measured and nothing is estimated. Verdict: either redesign around measurable lending outcomes (rates, default, approval gaps) or send the descriptive version to a field outlet.
Borderline calls from adjacent fields
- Accounting-flavored questions qualify when the outcome is a finance quantity (cost of capital, returns, spreads) rather than reporting quality for its own sake.
- A pure econometrics advance qualifies only if it changes a finance conclusion in a real application.
- Macro-finance fits when the asset-market or intermediary channel is the object, not the backdrop.
- Household finance fits when portfolio, credit, or pricing behavior is quantified at scale.
Portfolio thinking under the fee structure
- Score every candidate project on the rubric before any is built; the journal's fee-and-refund design effectively prices a failed screen, so weak candidates should die at this stage, not at submission.
- A 7-9 project with a repairable dimension (usually identification or novelty) often beats starting a fresh 10 — the repair plan itself can become the paper's design section.
- Re-score after the first full results pass: projects drift, and a question that scored 11 as proposed can be an 8 as executed.
Output format
【Scope fit】corporate finance / investments / markets / institutions / methods?
【Quantitative core】Y/N — what is measured/estimated
【Selectivity check】is the contribution sharp enough for <9%?
【Next step】jfqa-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-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jfqa Topic Selection 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jfqa Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 7 repos | ~2.3k | Automated safety check: Notes | None |
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Nature Paper Card
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Hypothesis Generation
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Good Question
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A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
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Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
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Categories
Questions about Jfqa Topic Selection
What does Jfqa Topic Selection do?
A skill your agent uses when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance…. Jfqa Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a research question fits the Journal of Financial and Quantitative Analysis (JFQA) — empirical and quantitative financial economics (corporate finance, investments, capital and security markets, financial institutions, finance-relevant quantitative methods).
When should I use Jfqa Topic Selection?
Jfqa Topic Selection fits situations like: capital and security markets; financial institutions; finance-relevant quantitative methods).
How do I install Jfqa Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a claude-code`. Or copy the skill folder (Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jfqa-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Jfqa Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-topic-selection -a codex`. Or copy the skill folder (Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jfqa-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Jfqa 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 jfqa-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/jfqa-topic-selection, .gemini/skills/jfqa-topic-selection, .github/skills/jfqa-topic-selection and .opencode/skills/jfqa-topic-selection in your project.
What does Jfqa Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Jfqa Topic Selection is instructions for the agent only.
Does Jfqa 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 Jfqa 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 Jfqa Topic Selection use?
Jfqa 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 Jfqa Topic Selection use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 Jfqa Topic Selection?
Skills that share tags, products or a category with Jfqa Topic Selection: Hypothesis Generation (spacering-net/codeg, 3.8k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jfqa Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.