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-writing-stylegit 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-writing-style)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-writing-style"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-writing-style/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-writing-style"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-writing-style.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 | $0.01181 |
| Opus 5.5 | $0.00000 | $0.00472 |
| Sonnet 5.5 | $0.00000 | $0.00236 |
| Haiku 4.5 | $0.00000 | $0.00118 |
Grade A, and why
aeja-writing-style 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Style (aeja-writing-style)
When to trigger
- Identification and robustness are settled and the paper needs its final exposition pass
- The introduction buries the question and the estimate under setup or literature
- The abstract does not state the headline number with its uncertainty
- The prose reads like a field-internal note rather than broad applied micro
The AEJ: Applied introduction arc
AEJ: Applied prose is plain, direct, and design-forward. The introduction should follow the applied-micro arc: question → why credible identification is hard → the design that solves it → headline causal estimate with a standard error → mechanism → policy/economic lesson → brief roadmap. A non-specialist applied economist should grasp the question and the answer in the first paragraph; the design should be legible by the end of the second.
| Section | What it must do at AEJ: Applied |
|---|---|
| Abstract | question + design + headline estimate (with units & SE) + lesson, in ≤ the AEA word norm |
| Intro ¶1 | the economic question and the headline number, with uncertainty, no throat-clearing |
| Intro ¶2–3 | why naive estimates fail + the source of variation that fixes it |
| Intro mid | the estimate, the mechanism, and the magnitude's economic meaning |
| Intro end | contribution (honest delta), scope of the claim, brief roadmap |
Writing craft
- Lead with the answer, not the setup. The first paragraph states what you find and roughly how big; the apparatus comes after.
- Numbers with units and SEs in sentences. "We find X raises Y by 6.2% (s.e. 0.7)" — the magnitude lives in the prose, not only the table.
- Name the design plainly. "We use a regression discontinuity at the eligibility cutoff" beats euphemism; AEJ: Applied readers want the identification stated.
- Calibrate the claim. State what the estimand is (local / ITT) and what it does not establish — over-claiming external validity is a frequent referee complaint.
- Plain English over jargon. Short sentences; active voice; define field-specific terms once. Broad applied-micro readership is the audience.
- Write the abstract and intro last, after the result is final.
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 · 82 lines · 0 tokens per session scan A b53f7ea78311
aeja-writing-style 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 1,181 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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