Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Jet Replication And Data Policy

ASecurity

Handle the Journal of Economic Theory (JET) data/code expectations — JET has NO mandatory replication archive (consistent with its theorem-proof orientation); Elsevier encourages but does not require data sharing via Mendeley Data, a repository link, a Data in Brief co-submission, or a data statement. Focuses on reproducible computation when a paper has any, plus generative-AI disclosure. Light by design.

1,052 stars
0 votes
0 copies
0 views
Added 6/5/2026
ai-agents

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-replication-and-data-policy --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Jet Replication And Data Policy?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Jet Replication And Data Policy
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-jet-replication-and-data-policy/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-jet-replication-and-data-policy)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: jet-replication-and-data-policy
description: Handle the Journal of Economic Theory (JET) data/code expectations — JET has NO mandatory replication archive (consistent with its theorem-proof orientation); Elsevier encourages but does not require data sharing via Mendeley Data, a repository link, a Data in Brief co-submission, or a data statement. 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 mandatory data/code availability requirement.** Unlike empirical AEA / Econometric Society
  journals, JET has **no JAE-Data-Archive-style replication archive**. Because most papers are pure
  theory, data/code sharing is **encouraged, not required** — this is a deliberate, distinctive norm.
- As an **Elsevier** journal, JET **encourages** (does not mandate) sharing via:
  - a **linked data statement**,
  - deposit to a repository or **Mendeley Data**,
  - or a **Data in Brief** co-submission.
- **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)

Even though sharing is optional, make any numerical content reproducible — 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

## Anti-patterns

- Assuming JET requires a formal replication package — it does not (verify wording on the live policy page)
- 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 computation?】yes/no  →  if no, data policy is effectively N/A (theory paper)
【Sharing】not required; chosen channel: repo | Mendeley Data | Data in Brief | data statement | none
【Reproducible】master script + pinned env + seeds + README? [Y/N]
【AI disclosure】declared at submission? [Y/N]
【Next】jet-submission
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

651 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →