Agent skill

Jfqa Replication And Data Policy

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

A skill your agent uses when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw…

MITAuto-check passedDatabases

Install Jfqa Replication And Data Policy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-replication-and-data-policy -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jfqa-replication-and-data-policy --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-and-Quantitative-Analysis-Skills/skills/jfqa-replication-and-data-policy .claude/skills/jfqa-replication-and-data-policy && 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
jfqa-replication-and-data-policy
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
524 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw…

  • Works in 3 steps: Source code that reproduces all reported… → The raw datasets, OR — if restricted by… → A "read me" file documenting the…
  • Pseudo datasets
  • SKILL.md covers What you must deposit, Where it goes, Exceptions (timing matters) and Verification, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jfqa Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw or pseudo datasets, and a read-me with an execution roadmap, deposited in the JFQA Dataverse at the Harvard University Dataverse. Use to prepare the mandatory archive for accepted post-2024 submissions and to request any exception at initial submission.

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 Databases, covering Database administration. 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

  • Pseudo datasets
  • A read-me with an execution roadmap
  • Deposited in the JFQA Dataverse at the Harvard University Dataverse
  • Prepare the mandatory archive for accepted post-2024 submissions and to request any exception at initial submission

Example prompts

  • “/jfqa-replication-and-data-policy”

Workflow steps

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

  1. Source code that reproduces all reported findings from the raw data — every table and figure.
  2. The raw datasets, OR — if restricted by copyright/confidentiality (common with CRSP, Compustat, TAQ, etc.) — a pseudo dataset with enough…
  3. A "read me" file documenting the software, languages, and data formats, plus a roadmap of the program execution order when there are…

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 Replication And Data Policy loads about 1.2k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 524 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
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). 524 words, ~1,240 tokens.

Download SKILL.mdSave it as .claude/skills/jfqa-replication-and-data-policy/SKILL.md (or your agent's skills folder).
name
jfqa-replication-and-data-policy
description
Use when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw or pseudo datasets, and a read-me with an execution roadmap, deposited in the JFQA Dataverse at the Harvard University Dataverse. Use to prepare the mandatory archive for accepted post-2024 submissions and to request any exception at initial submission.

JFQA Replication & Data Policy (jfqa-replication-and-data-policy)

Use this skill to satisfy the JFQA Code Sharing Policy. It is mandatory for submissions made on or after January 1, 2024 if the paper is accepted (voluntary for earlier submissions). Materials are posted at acceptance, before online publication. Re-verify the live policy before final packaging.

What you must deposit

  1. Source code that reproduces all reported findings from the raw data — every table and figure.
  2. The raw datasets, OR — if restricted by copyright/confidentiality (common with CRSP, Compustat, TAQ, etc.) — a pseudo dataset with enough observations that all programs execute successfully.
  3. A "read me" file documenting the software, languages, and data formats, plus a roadmap of the program execution order when there are multiple programs.

Where it goes

  • Archived in the JFQA Dataverse, hosted at the Harvard University Dataverse, as supplemental materials.
  • Code is licensed for academic research only; users must acknowledge the code's origin.

Exceptions (timing matters)

  • Any exception — e.g., delayed code sharing — must be requested on the initial submission, not later. The handling editor decides; an approved exception is noted in the published paper.

Verification

  • JFQA may use external verification services to validate code for randomly selected publications. Build the package so a third party can run it end-to-end from the (raw or pseudo) data.

Build discipline

  • One master script (run_all) regenerating every exhibit from the deposited data.
  • Pin software/package versions; set and report seeds for any bootstrap/simulation.
  • Keep paths relative; ensure the pseudo dataset triggers every code path.
Show full SKILL.md (276 more words)Show less

Pseudo-data recipe for licensed finance sources

CRSP, Compustat, TAQ, IBES, and OptionMetrics extracts cannot be redistributed, so the pseudo dataset carries the verification load:

  1. Preserve the exact schema — variable names, types, and panel keys (permno/gvkey/date) — so merges run unchanged.
  2. Simulate or scramble enough rows (say, 500 firms over 120 months; scale to your design) to exercise every merge, filter, and edge case: missing delisting returns, duplicate links, zero-volume days, fiscal-year changes.
  3. Run the full pipeline on the pseudo data and confirm every program completes and every exhibit is produced in well-formed (not numerically identical) form.
  4. In the read-me, state plainly that pseudo-data numbers will not match the paper, and specify the exact licensed extracts a verifier needs (data vendor, library/table names, variable list, query date range) to reproduce the real ones.

Archive layout and dry-run protocol

jfqa-archive/
  README.md            # software + versions, data inventory, execution roadmap
  run_all.sh           # one-button rebuild of every table and figure
  code/                # numbered: 01_build_sample, 02_main_tables, ...
  data/raw/  or  data/pseudo/
  output/tables/  output/figures/
  • Fresh-machine test: copy the archive to a clean directory (ideally a colleague's machine), run run_all, and diff the regenerated exhibits against the manuscript.
  • Confirm the read-me reflects the academic-research-only license and the requirement that users acknowledge the code's origin.
  • Because verification may be performed by an external service on randomly selected papers, write the read-me for a stranger with no context, not for your coauthors.

Exception decision aid

Data situationArchive moveException at initial submission?
Standard WRDS sources (CRSP/Compustat/TAQ)pseudo dataset + full codeno
Proprietary data under NDA (broker, exchange, bank)pseudo dataset + request delayed/limited sharingyes — request it now, not at acceptance
Hand-collected data from public filingsdeposit the raw data itselfno
Commercial data with negotiable termsask the vendor early; default to pseudo dataonly if sharing truly cannot occur

Output format

【Code】reproduces all tables/figures from raw data? [Y/N]
【Data】raw OR pseudo dataset that runs end-to-end? [which]
【Read-me】software/versions + execution roadmap? [Y/N]
【Deposit】JFQA Dataverse (Harvard), academic-use license? [Y/N]
【Exception】needed? if so, requested at INITIAL submission? [Y/N/NA]
【Next step】jfqa-submission

© 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-replication-and-data-policy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Categories

Questions about Jfqa Replication And Data Policy

What does Jfqa Replication And Data Policy do?

A skill your agent uses when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw…. Jfqa Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the code and data archive required by the Journal of Financial and Quantitative Analysis (JFQA) Code Sharing Policy — source code reproducing all findings, raw or pseudo datasets, and a read-me with an execution roadmap, deposited in the JFQA Dataverse at the Harvard University Dataverse.

When should I use Jfqa Replication And Data Policy?

Jfqa Replication And Data Policy fits situations like: pseudo datasets; A read-me with an execution roadmap; deposited in the JFQA Dataverse at the Harvard University Dataverse; prepare the mandatory archive for accepted post-2024 submissions and to request any exception at initial submission.

How do I install Jfqa Replication And Data Policy in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-replication-and-data-policy -a claude-code`. Or copy the skill folder (Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-replication-and-data-policy in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jfqa-replication-and-data-policy in your project. Claude Code loads it when a task matches its description.

How do I install Jfqa Replication And Data Policy in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-replication-and-data-policy -a codex`. Or copy the skill folder (Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-replication-and-data-policy in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jfqa-replication-and-data-policy in your project. Codex loads it when a task matches its description.

Can I use Jfqa Replication And Data Policy 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-replication-and-data-policy -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-replication-and-data-policy, .gemini/skills/jfqa-replication-and-data-policy, .github/skills/jfqa-replication-and-data-policy and .opencode/skills/jfqa-replication-and-data-policy in your project.

What does Jfqa Replication And Data Policy need to run?

SKILL.md names no scripts, command-line tools or credentials: Jfqa Replication And Data Policy is instructions for the agent only.

Does Jfqa Replication And Data Policy 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 Replication And Data Policy 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 Replication And Data Policy use?

Jfqa Replication And Data Policy 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 Replication And Data Policy 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 Jfqa Replication And Data Policy?

Skills that share tags, products or a category with Jfqa Replication And Data Policy: Hybrid Cloud Outboxes (getsentry/sentry, 46k stars), Replicate Video Ad (Jingyi-Wu-Richael/replicate-video-ad, 108 stars), Sea Orm 2 (FlyinPancake/yoink, 112 stars) and Pixel Perfect Replication (Yu-369/VibeCurb, 979 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jfqa Replication And Data Policy?

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.