Agent skill

Jf Empirical Design

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when designing or stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models, Fama–MacBeth vs.

No licenceAuto-check passedTesting & QA

Install Jf Empirical Design

skills CLI
$ npx skills add franklee16/academic-research-skills --skill jf-empirical-design -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills jf-empirical-design --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Finance-Skills/skills/jf-empirical-design .claude/skills/jf-empirical-design && 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
jf-empirical-design
GitHub stars
223
Used in
1 other repo
Token cost
~886 tokens
SKILL.md length
346 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when designing or stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models, Fama–MacBeth vs.

  • Stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models
  • SKILL.md covers When to trigger, Choosing the test, JF-specific standards and Checklist, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Fama–MacBeth vs

What it does

Jf Empirical Design is an agent skill from franklee16/academic-research-skills. Use when designing or stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models, Fama–MacBeth vs. panel, standard-error corrections, out-of-sample discipline. For corporate causal claims use jf-identification.

Its SKILL.md is about 890 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 Testing & QA, covering Load testing. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • Stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models
  • Fama–MacBeth vs

Example prompts

  • “/jf-empirical-design”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. 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

Jf Empirical Design loads about 886 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 346 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~886

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 346 words (~886 tokens).

“JF asset-pricing referees engage the JF-published canon — Sharpe (1964) CAPM, Fama–French (1992), Jegadeesh–Titman (1993) momentum, Carhart (1997) — and expect you to benchmark against the right factors (recall the FF three-factor model is JFE 1993). They also expect:”

— opening of SKILL.md by franklee16
name
jf-empirical-design

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Journal-of-Finance-Skills/skills/jf-empirical-design of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Jf Empirical Design 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.

Jf Empirical Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jf Empirical Design this skillfranklee16/academic-research-skills2231 repos~886Automated safety check: PassNone
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1731 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision331—~2.9kAutomated safety check: PassMIT

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Categories

Questions about Jf Empirical Design

What does Jf Empirical Design do?

A skill your agent uses when designing or stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models, Fama–MacBeth vs. Jf Empirical Design is an agent skill from franklee16/academic-research-skills. Use when designing or stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models, Fama–MacBeth vs.

When should I use Jf Empirical Design?

Jf Empirical Design fits situations like: stress-testing an asset-pricing test for a The Journal of Finance (JF) manuscript — factor models; fama–MacBeth vs.

How do I install Jf Empirical Design in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill jf-empirical-design -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Finance-Skills/skills/jf-empirical-design in franklee16/academic-research-skills) into .claude/skills/jf-empirical-design in your project. Claude Code loads it when a task matches its description.

How do I install Jf Empirical Design in Codex?

Run `npx skills add franklee16/academic-research-skills --skill jf-empirical-design -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Finance-Skills/skills/jf-empirical-design in franklee16/academic-research-skills) into .agents/skills/jf-empirical-design in your project. Codex loads it when a task matches its description.

Can I use Jf Empirical Design 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 franklee16/academic-research-skills --skill jf-empirical-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jf-empirical-design, .gemini/skills/jf-empirical-design, .github/skills/jf-empirical-design and .opencode/skills/jf-empirical-design in your project.

What does Jf Empirical Design need to run?

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

Does Jf Empirical Design 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 Jf Empirical Design 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 Jf Empirical Design use?

No licence was found for Jf Empirical Design or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Jf Empirical Design use?

About 886 tokens (SKILL.md is roughly 3.5k 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 Jf Empirical Design?

Skills that share tags, products or a category with Jf Empirical Design: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 173 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jf Empirical Design?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-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.