Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-submissiongit clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-submission)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-submission/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-submission.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01178 |
| Opus 5.5 | $0.00000 | $0.00471 |
| Sonnet 5.5 | $0.00000 | $0.00236 |
| Haiku 4.5 | $0.00000 | $0.00118 |
Grade A, and why
aeja-submission scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Submission Preflight (aeja-submission)
When to trigger
- "Submitting tomorrow" — last check before pressing submit on the AEA system
- Unsure which files, fees, and declarations the AEA submission expects
- Confirming title/byline/front matter, JEL codes, and disclosure statements are in order
- Confirming the paper is data-policy-ready should it advance
Process facts (official AEA pages checked 2026-06-20; editor + fees re-verified 2026-06-22)
- AEJ: Applied is one of the four American Economic Journals, published by the American Economic Association (AEA), quarterly; submission is through the AEA online submission system.
- Single-blind review: author identities are visible to referees; referee identities remain anonymous to authors. The manuscript should include title, byline, and author affiliations on the first page.
- Submission fee: AEA members: high-income USD 200, middle-income USD 100, low-income USD 0. Nonmembers: high-income USD 300, middle-income USD 200, low-income USD 0. Papers rejected without review receive a 50 percent refund.
- Publication fee: accepted papers first submitted on or after 1 February 2024 are assessed USD 15 per typeset page at proofs.
- Length/front matter: abstract of 100 or fewer words; JEL codes; title, byline, and author affiliations on the first page; recommended maximum equivalent to 40 pages at 11-point/1.5 spacing/1-inch margins or 45 pages at 12-point/1.5 spacing/1-inch margins.
- Editor (re-verified 2026-06-22): Raymond Fisman (Boston University), lead-editor term beginning January 2026; coeditors Leah Boustan, Marika Cabral, Peter Hull, Xavier Jaravel, and Nicholas Ryan; Data Editor: Lars Vilhuber (Cornell). Re-verify the masthead on the AEA editors page before submission.
- Data & code: the AEA Data and Code Availability Policy applies; papers offered R&R are asked to submit their data replication package at resubmission, and accepted papers must clear the Data Editor's compliance/reproducibility check before publication (
aeja-replication-package). - One paper under review at a time per AEA rules; AI cannot be listed as an author.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 73 lines · 0 tokens per session scan A 156bbc376ebe
aeja-submission is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,178 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.
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