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 aeri-theory-modelgit 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/aeri-theory-model)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeri-theory-model"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-theory-model/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/aeri-theory-model"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-theory-model.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 | $0.01217 |
| Opus 5.5 | $0.00000 | $0.00487 |
| Sonnet 5.5 | $0.00000 | $0.00243 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
aeri-theory-model 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Theory / Model — Minimal to Carry One Insight (aeri-theory-model)
When to trigger
- A theory paper's single result (a theorem, an impossibility, a sharp comparative static) needs a tight model
- An empirical paper carries a structural or conceptual model that has grown beyond what the result needs
- The model section is eating the word budget that the result and identification need
- A referee might ask "why all this machinery for one point?"
The AER: Insights modeling discipline
AER: Insights rewards a single, surprising, clean theoretical or modeling insight delivered with the smallest model that produces it. The question is never "is the framework general?" but "what is the most economical model whose one result is important and surprising?" Generality, extensions, and robustness of the modeling go to the Supplemental Appendix; the main text states the assumptions, the one key result, and the intuition. A theory paper here is short and pointed, the opposite of a foundational framework paper for AER or a field journal.
Two cases
Case 1: The paper IS the theory (a theory short paper)
- One headline result. A single theorem, impossibility, or characterization that overturns or sharply refines a believed claim. State it early, prove it economically.
- Minimal assumptions. Strip to the assumptions the result actually needs; flag which are substantive vs. technical.
- Intuition before proof. Give the one-paragraph mechanism that makes the result memorable; full proofs to the appendix if long.
- Surprise stated. Name the prior intuition the result violates — that is why it is an AER: Insights paper, not a field-theory note.
Case 2: The model SUPPORTS an empirical insight
- Justify the model's job. It exists to deliver one object (an identifying restriction, a counterfactual, a structural parameter the data identify). Cut anything not in service of that.
- Minimal structure for identification. Tie the key parameter to a data moment (
aeri-identificationBranch C); keep solution/estimation detail in the appendix. - One counterfactual, if any. If the structure delivers a counterfactual, report the single one that matters with its uncertainty; alternatives to the appendix.
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 · 86 lines · 0 tokens per session scan A 78986f2417b2
aeri-theory-model is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,217 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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