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 aejmic-replication-packagegit 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/aejmic-replication-package)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejmic-replication-package"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmic-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/aejmic-replication-package"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmic-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 | $0.01099 |
| Opus 5.5 | $0.00000 | $0.00440 |
| Sonnet 5.5 | $0.00000 | $0.00220 |
| Haiku 4.5 | $0.00000 | $0.00110 |
Grade A, and why
aejmic-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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Replication Package: Proofs + Code (aejmic-replication-package)
For AEJ: Micro the "replication package" has two faces: the proof appendix that makes every theory claim verifiable, and, for any paper with data, code, experiments, or numerical results, an AEA Data and Code Repository deposit. Pure-theory papers still deposit any numerical/simulation code used to generate examples or figures.
When to trigger
- Proofs are scattered, abbreviated, or rely on "it can be shown"
- The paper has numerical examples, simulations, structural estimation, or an experiment with no deposit prepared
- You are preparing for the AEA Data Editor check (administered before publication)
- A referee or editor flags reproducibility
The proof appendix (every AEJ: Micro paper)
- Self-contained proofs of all stated results. Key proofs belong in the paper (main text or appendix); do not exile a load-bearing proof to supplementary material.
- Lemma scaffolding: state and prove auxiliary lemmas before the main theorem; reference them precisely.
- Verify, do not assert: no "it can be shown that" for a claim the result depends on; complete the argument or cite a precise source.
- Match the statement: the proof establishes exactly what the proposition claims (no gap between the body statement and what is proved).
Code / data deposit (papers with data, code, experiments, or numerical results)
The AEA operates a Data and Code Availability Policy administered by the AEA Data Editor (currently Lars Vilhuber — 检索于 2026-06，以官网为准), with materials deposited to the AEA Data and Code Repository on openICPSR. Build it as you go.
- One master script (
run_all) regenerating every table, figure, and numerical example from inputs. - Pin versions:
requirements.txt/conda(Python),renv.lock(R),Project.toml/Manifest.toml(Julia), recorded Statassc/netversions. - Set and report seeds for any simulation, bootstrap, or randomization.
- README mapping each exhibit to the script that produces it; document any restricted-data or partial-reproduction scope.
- Pure-theory papers: deposit the code behind numerical examples / figures even when there is no dataset.
- Experiments: include instructions, z-Tree/oTree code, raw and analysis data, and pre-registration links.
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 · 73 lines · 0 tokens per session scan A 0db630801585
aejmic-replication-package 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 1,099 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.
Other skills, from other repositories
alterlab-imaging-data-commons
Query and download public cancer imaging data from the NCI Imaging Data Commons (IDC) using the idc-index Python package, filtering by metadata, visualizing in-browser, and checking licenses, with no authentication required. Use when obtaining large-scale radiology (CT, MR, PET) or digital pathology DICOM datasets for…
alterlab-pyhealth
Develops, tests, and validates clinical machine learning models with the PyHealth 2.x healthcare AI toolkit. Use when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, length of stay, drug recommendation), medical coding systems (ICD, NDC, ATC, CCS), physiological signals…
alterlab-anndata
Build, slice, concatenate, read, and write AnnData annotated data matrices (obs, var, X, layers, obsm, uns) — the scverse data STRUCTURE, not an analysis pipeline. Use when creating or wrangling .h5ad/zarr files, managing cell and gene annotations, concatenating batches, or handling layers/obsm/backed-mode; for the…
alterlab-datamol
Wraps RDKit in a high-level, pandas-friendly datamol interface with sensible defaults for everyday drug discovery — SMILES/SDF loading into DataFrames, molecule standardization, descriptors, fingerprints, Butina clustering, 3D conformer generation, scaffold analysis, and parallel batch processing, returning native…
alterlab-eda
Exploratory data analysis (EDA) on a scientific data file — auto-detects the format, runs structure/quality/statistics checks, and writes a markdown EDA report with downstream recommendations. Use when asked to "explore", "analyze", "summarize", "profile", or "QC" a data file, or to understand its…
alterlab-biorxiv
Search the bioRxiv preprint server and retrieve paper metadata or download PDFs via its API. Use when finding life sciences preprints by keywords, authors, DOI, date ranges, or categories, or when conducting a biology literature review of not-yet-peer-reviewed work. Part of the AlterLab Academic Skills suite.