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 aejmac-tables-figuresgit 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/aejmac-tables-figures)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejmac-tables-figures"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmac-tables-figures/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/aejmac-tables-figures"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmac-tables-figures.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 | $0.01312 |
| Opus 5.5 | $0.00000 | $0.00525 |
| Sonnet 5.5 | $0.00000 | $0.00262 |
| Haiku 4.5 | $0.00000 | $0.00131 |
Grade A, and why
aejmac-tables-figures 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tables & Figures (aejmac-tables-figures)
When to trigger
- IRF figures lack confidence bands, units, or a clear horizon axis
- Tables are dense, mislabeled, or report coefficients without the macro quantity of interest
- A model-fit comparison (data vs. simulated moments) is asserted in text but not shown
- Exhibits do not stand alone — the reader needs the body text to decode them
The AEJ: Macro exhibits bar
AEJ: Macro follows AEA house style (applied by the AEA at copyediting; the submitted PDF need not pre-conform, but clean exhibits speed review). Macro adds its own conventions: the impulse-response function is the workhorse figure, and the headline quantity (multiplier, peak response, welfare cost, share of variance) must be readable off the exhibit. Every exhibit should be self-contained: title, axis labels with units and horizon, sample, and the inference object (bands / SE) in the note.
Figure conventions (macro-specific)
- IRFs: plot the response with a shaded confidence band (state the level, e.g., 68% and/or 90%); label the horizon axis in the natural unit (quarters/months/years); mark zero; if sign-restricted, show the identified set / median-target, not a spurious point.
- Fan charts / forecast bands: show the full predictive distribution where the claim is about uncertainty.
- Model-fit overlays: plot data vs. model (targeted and untargeted moments) on the same axes; this is the credibility figure for quantitative work.
- Counterfactual figures: baseline vs. counterfactual paths with uncertainty carried through.
- Variance decompositions / contribution plots: stacked or grouped, with a clear legend.
- Vector output (
.eps/.pdf) preferred for final files; keep colors legible in grayscale; no chartjunk.
Table conventions
- Report the economic quantity, not just raw coefficients — e.g., the multiplier, the elasticity, the implied share — with its SE/band.
- AEA tables conventionally use significance stars; AEJ: Macro accepts them, but the standard error / band must be present and must carry the inference (do not let stars substitute for a reported SE). Note significance levels in the table note.
- One decisive number per row; align decimals; units in the column header or note.
- Targeted-vs-untargeted-moment tables: clearly flag which moments were matched.
- Notes carry: sample, frequency, estimator, inference (HAC/cluster), and what an asterisk means.
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 · 83 lines · 0 tokens per session scan A 498fdaace5da
aejmac-tables-figures is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,264 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,312 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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