Agent skill

Jet Replication And Data Policy

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

A skill your agent uses when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist…

MITAuto-check passedDatabases

Install Jet Replication And Data Policy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-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 jet-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-Economic-Theory-Skills/skills/jet-replication-and-data-policy .claude/skills/jet-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
jet-replication-and-data-policy
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
581 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist…

  • Handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented
  • SKILL.md covers When to trigger, What JET actually requires, Reproducible-computation… and What to package, by content type, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • But Elsevier Option C applies when research data exist: deposit/cite/link data in a repository

What it does

Jet Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible. Focuses on reproducible computation when a paper has any, plus generative-AI disclosure. Light by design.

Its SKILL.md is about 1.4k 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

  • Handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented
  • But Elsevier Option C applies when research data exist: deposit/cite/link data in a repository
  • Explain why sharing is not possible

Example prompts

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

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

Jet Replication And Data Policy loads about 1.4k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 581 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 581 words, ~1,374 tokens.

Download SKILL.mdSave it as .claude/skills/jet-replication-and-data-policy/SKILL.md (or your agent's skills folder).
name
jet-replication-and-data-policy
description
Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible. Focuses on reproducible computation when a paper has any, plus generative-AI disclosure. Light by design.

Replication & Data Policy (jet-replication-and-data-policy)

When to trigger

  • Your JET paper includes numerical examples, simulations, or computed results and you want to share them well
  • You are checking what JET requires for data/code at submission or acceptance
  • You need to get the generative-AI disclosure right

What JET actually requires

  • No journal-run replication archive. Unlike empirical AEA / Econometric Society journals, JET has no JAE-Data-Archive-style replication archive. Most JET papers are pure theory, so the main reproducibility object is the proof and any supplementary appendix.
  • Elsevier Option C applies when research data exist. Deposit research data in a relevant repository and cite/link it, or state why the data cannot be shared. Data statements are supported in the submission flow and appear with the published article.
  • Pure theorem papers still need a clear statement. If there are no external research data and no computation, say so plainly. If there are numerical examples, simulations, or computer-assisted proof steps, make those artifacts reproducible and link/deposit them where appropriate.
  • Generative-AI disclosure is required: authors must declare any use of generative AI in manuscript preparation at submission. Reviewers and editors are prohibited from using generative-AI tools during evaluation.

Reproducible-computation playbook (when the paper has computation)

JET's Option C rule is data-focused, but for a theory paper any numerical content should still be reproducible because it strengthens the paper and pre-empts referee doubt:

  • One master script regenerates every reported number, table, and figure from scratch
  • Environment pinned (requirements.txt, Project.toml/Manifest.toml, recorded toolbox versions)
  • Seeds set and reported for any stochastic illustration
  • A short README mapping each script to the theorem/figure it supports
  • If shared, choose one channel (repo link / Mendeley Data / Data in Brief) and link it in the data statement

What to package, by content type

Computational content in the paperArtifact worth sharingChannel that fits
Symbolic verification of closed forms (e.g., checking eq. (7) of a screening model)one SymPy/Mathematica script per theoremrepo link in the data statement
Counterexample found by searchthe search code plus a certificate script confirming the final example violates the conclusionrepo; the certificate logic also goes in the paper
Computed equilibria (e.g., a numerical fixed point for a dynamic-contract example)solver script with tolerances and pinned environmentrepo or Mendeley Data
Experimental/empirical test of the theory (rare at JET)data, cleaning, and analysis scriptsrepository / Mendeley Data / Data in Brief, with Option C statement
Pure theory, no computationno archive to manufactureno-data statement
Show full SKILL.md (177 more words)Show less

Supplementary-appendix culture (the theory analogue of replication)

  • At a theorem-proof journal, the unit of "replication" is the omitted proof, not a dataset. Long technical arguments go to an online appendix / supplementary file the referee can read.
  • Make the supplementary appendix self-contained in notation and citable by numbered cross-references from the main text (e.g., "Appendix S.2"), so checking it never requires re-deriving the body.
  • If any proof step is computer-assisted — exhaustive finite-case checking, interval arithmetic, symbolic simplification — say so inside the proof and ship the checker; the step is only as credible as a referee's ability to re-run it.
  • Where the proofs live (in-PDF appendix vs separate supplementary file) varies; confirm against the journal's current author guidelines before splitting files.

Companion README template

text
README — companion code for "<title>" (JET submission)
verify_thm2_bound.py     → re-derives eq. (7)–(9); confirms the Theorem 2 bound is attained (Example 1)
search_counterexample.jl → finds the Example 3 economy; seed 20250114; runtime < 1 min
check_thm4_cases.py      → exhaustive check of the 12 finite cases cited in Appendix B, Step 3
env: requirements.txt / Manifest.toml (pinned)
Every reported number in the paper appears in the output of exactly one script above.

Anti-patterns

  • Assuming JET has a journal-run replication archive — it does not
  • Treating Option C as optional when the manuscript uses shareable research data
  • Reporting computed numbers no script can reproduce
  • Omitting the generative-AI declaration at submission
  • Treating the optional data statement as a substitute for a checkable proof — the proof carries the paper

Output format

【Has data/computation?】none / data / computation / both
【Option C】repository citation/link, or no-data/cannot-share statement? [Y/N]
【Reproducible】master script + pinned env + seeds + README? [Y/N]
【AI disclosure】declared at submission? [Y/N]
【Next】jet-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-Economic-Theory-Skills/skills/jet-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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Horse Database PoolingHashLoad/horse1.4k—~1.4kAutomated safety check: PassMIT

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Categories

Questions about Jet Replication And Data Policy

What does Jet Replication And Data Policy do?

A skill your agent uses when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist…. Jet Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible.

When should I use Jet Replication And Data Policy?

Jet Replication And Data Policy fits situations like: handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented; but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository; explain why sharing is not possible.

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

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

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

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

Can I use Jet 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 jet-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/jet-replication-and-data-policy, .gemini/skills/jet-replication-and-data-policy, .github/skills/jet-replication-and-data-policy and .opencode/skills/jet-replication-and-data-policy in your project.

What does Jet Replication And Data Policy need to run?

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

Does Jet 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 Jet 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 Jet Replication And Data Policy use?

Jet 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 Jet Replication And Data Policy use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Jet Replication And Data Policy?

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Who maintains Jet Replication And Data Policy?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.