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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skillsnpx agentmods add skills/brycewang-stanford/awesome-journal-skills/aeja-replication-packageWrote 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-replication-package)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-replication-package"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-replication-package/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-replication-package"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-replication-package.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 | $0.01173 |
| Opus 5.5 | $0.00000 | $0.00469 |
| Sonnet 5.5 | $0.00000 | $0.00235 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
aeja-replication-package 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Replication Package & AEA Data Policy (aeja-replication-package)
When to trigger
- The paper is empirical and you are heading toward acceptance (or want to build the package early)
- An R&R or conditional acceptance asks you to prepare the data + code deposit
- You need to write the README and Data Availability Statement to AEA standard
- Some data are restricted/proprietary and you must plan the deposit around that
Why this is the AEJ: Applied signature
The single most distinctive AEJ: Applied differentiator is the AEA Data and Code Availability Policy, administered by the AEA Data Editor (Lars Vilhuber). Papers offered a revise-and-resubmit are asked to submit a data replication package at resubmission, and accepted papers must clear the Data Editor's compliance and reproducibility checks before publication. The default home is the AEA Data and Code Repository on openICPSR; other trusted repositories require appropriate Data Editor access. Build this package as you analyze; do not treat it as an acceptance-day formality.
What the package must contain
| Component | Requirement |
|---|---|
| Data files | All data used, unzipped, in open/documented formats; or, for restricted data, a precise access path |
| Analysis + transformation code | Every script from raw data → cleaned data → each table/figure |
| Master script | One run_all that regenerates every exhibit from raw inputs |
| README | AEA README template: data sources, access, computational requirements, run instructions, exhibit-to-code mapping |
| Data Availability Statement (DAS) | States provenance and access terms for each dataset; required in the paper |
| Instruments | Survey instruments / experiment instructions for own-data studies |
Handling restricted or proprietary data
- You cannot deposit restricted data, but you must still deposit all code and document the exact access procedure (provider, application steps, cost, approximate wait).
- Provide a small synthetic or public extract so the code runs and the Data Editor can verify logic where possible.
- Declare any restricted-data or exemption request at the earliest opportunity — limited-access arrangements are at editor/Data-Editor discretion and must be flagged, not discovered at the check.
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 · 81 lines · 0 tokens per session scan A 3b65ef3ec42f
aeja-replication-package 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 1,173 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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