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 aejpol-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/aejpol-theory-model)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejpol-theory-model"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-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/aejpol-theory-model"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-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 | $0.00077 | $0.01089 |
| Opus 5 | $0.00039 | $0.00544 |
| Sonnet 5 | $0.00015 | $0.00218 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
aejpol-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 7d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Theory / Welfare Model — Estimate-to-Policy Bridge (aejpol-theory-model)
When to trigger
- You have a credible causal estimate but no framework to say what it means for welfare or policy
- A referee says the welfare claim is "hand-waved" or the "so what" is missing
- You need to convert an elasticity / treatment effect into a cost-benefit or optimal-policy statement
- A reviewer asks "what is the sufficient statistic, and does your estimate identify it?"
The AEJ: Policy role of theory
At AEJ: Policy theory is usually in service of the policy reading, not the headline. Most papers do not need a full structural model; they need a transparent framework that turns a reduced-form estimate into a welfare, cost-benefit, or distributional object a policymaker can use. Pick the lightest framework that delivers the policy statement and make its assumptions explicit.
Bridge paths (lightest first)
Path A: Sufficient statistics / MVPF
- Write the welfare expression and show which estimated objects are the sufficient statistics (e.g., an elasticity, a fiscal externality, a pass-through). State that your design identifies exactly those.
- For spending/tax policies, a Marginal Value of Public Funds (benefit to recipients per dollar of net government cost) is the canonical AEJ: Policy summary — define the numerator and denominator and which estimates feed each.
- State the assumptions the sufficient-statistic formula buys you (envelope conditions, no income effects, partial-equilibrium scope) and where they could fail.
Path B: Cost-benefit / fiscal accounting
- Build the explicit ledger: program cost, behavioral-response fiscal effects, benefits to recipients, externalities. Show the net cost per unit of outcome (cost per job, per ton abated, per QALY-equivalent, per child lifted) with uncertainty propagated from the estimate's SE.
- Distinguish mechanical from behavioral effects; the behavioral term is what your causal estimate supplies.
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.
- 7d ago First seen · 71 lines · 0 tokens per session scan A e9633df8ba07
aejpol-theory-model is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,142 stars, last pushed 7d ago), licensed MIT. It adds 77 tokens to every session and 1,089 once invoked, about $0.0004 per session on Opus 5. 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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