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.
git 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/plugins/brycewang-stanford/awesome-journal-skills/aej-economic-policy-skills)<a href="https://agentmods.dev/plugins/brycewang-stanford/awesome-journal-skills/aej-economic-policy-skills"><img src="https://agentmods.dev/badge/plugins/brycewang-stanford/awesome-journal-skills/aej-economic-policy-skills/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/plugins/brycewang-stanford/awesome-journal-skills/aej-economic-policy-skills"><img src="https://agentmods.dev/badge/plugins/brycewang-stanford/awesome-journal-skills/aej-economic-policy-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
aej-economic-policy-skills 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 — 27 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "aej-economic-policy-skills",
"description": "Agent skill stack for manuscripts targeted at the American Economic Journal: Economic Policy (AEJ: Policy) — the American Economic Association's quarterly journal for economic analysis OF policy, spanning public economics and taxation, environmental and energy, health, education, labor and social insurance, regulation, development policy, and the political economy of policy. The pack foregrounds the policy question and its welfare / cost-benefit / distributional implication as the through-line: topic selection and contribution framing must lead with the policy counterfactual; identification centers credible quasi-experimental and RCT policy evaluation; writing-style covers translating estimates into a clear policy takeaway without overclaiming. Covers AEA process specifics: double-blind review via the AEA submission system, JEL codes, the AEA Data and Code Availability Policy and the AEA Data Editor pre-publication reproducibility check (openICPSR / AEA Data and Code Repository), AEA house style with standard errors and online appendix. Twelve role skills span workflow routing, topic selection, literature positioning, identification, theory/model, robustness, tables and figures, writing style, the replication package, referee strategy, submission, and rebuttal. Bilingual en / zh-CN docs; Stata / R / Python conventions for empirical policy-evaluation work.",
"version": "1.1.0",
"author": {
"name": "Bryce Wang",
"email": "[email protected]"
},
"license": "MIT",
"homepage": "https://github.com/brycewang-stanford/aej-economic-policy-skills",
"repository": "https://github.com/brycewang-stanford/aej-economic-policy-skills",
"keywords": [
"aej-economic-policy",
"economic-policy",
"american-economic-association",
"public-economics",
"policy-evaluation",
"quasi-experimental",
"cost-benefit-welfare",
"reproducibility",
"aea-data-editor",
"openicpsr",
What it installs
The manifest is a name and a version. 12 skills travel with it, and installing the plugin installs all of them — 831 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill aejpol-identification A 82 tokens
- Skill aejpol-literature-positioning A 59 tokens
- Skill aejpol-replication-package A 75 tokens
- Skill aejpol-robustness A 63 tokens
- Skill aejpol-tables-figures A 75 tokens
- Skill aejpol-topic-selection A 72 tokens
- Skill aejpol-workflow A 52 tokens
- Skill aejpol-rebuttal A 67 tokens
- Skill aejpol-referee-strategy A 79 tokens
- Skill aejpol-submission A 67 tokens
- Skill aejpol-theory-model A 77 tokens
- Skill aejpol-writing-style A 63 tokens
What ships with it
1 file beside plugin.json 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.
- 7d ago First seen · 27 lines scan A bedd091cc301
aej-economic-policy-skills is a plugin published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,142 stars, last pushed 7d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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