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 aeja-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/aeja-tables-figures)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-tables-figures"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-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/aeja-tables-figures"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-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 | $0.01457 |
| Opus 5.5 | $0.00000 | $0.00583 |
| Sonnet 5.5 | $0.00000 | $0.00291 |
| Haiku 4.5 | $0.00000 | $0.00146 |
Grade A, and why
aeja-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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tables & Figures (aeja-tables-figures)
When to trigger
- The main result is settled and must be made readable at a glance
- Tables are dense, over-decimaled, or bury the headline coefficient
- An event-study / RD / first-stage plot needs to carry the identification visually
- You are preparing exhibits for submission and want them AEA-house-style compliant
The AEJ: Applied exhibit bar
At AEJ: Applied the main causal estimate should be findable in seconds and every exhibit should earn its place. AEA house style permits significance stars but expects standard errors in parentheses, clear notes that make each exhibit self-contained, and clean figures over chartjunk. Lead with the design's signature visual — the event-study plot, the RD scatter, or the balance table — because at this journal the picture of the identification is half the persuasion.
| Exhibit | What it must show | Common failure |
|---|---|---|
| Main results table | headline coefficient, SE in parentheses, N, controls indicated, dependent-var mean | too many columns; no SEs; over-precision |
| Balance table (RCT) | baseline means by arm, differences, joint test | missing joint test; no attrition row |
| Event-study figure | leads + lags, CIs, reference period, flat pre-trends visible | no CIs; ambiguous reference period |
| RD figure | binned scatter + fitted lines, bandwidth, density | overfit polynomial; no density panel |
| First-stage / IV table | first-stage F, exclusion logic in notes | weak first stage hidden |
| Robustness exhibit | point-estimate stability across checks | a starred wall with no map |
Exhibit craft
- One table for the headline. Table 1 (or 2) should let a referee read the main causal estimate, its SE, and N without flipping pages.
- Standard errors always, stars optional. AEA permits stars, but SEs in parentheses are the load-bearing object; report the dependent-variable mean so magnitudes are interpretable.
- Self-contained notes. Each exhibit's note states sample, units, clustering level, controls, and what an asterisk (if used) means — a referee should not need the text to read the table.
- Figures carry identification. Event-study leads, RD continuity, and balance are more convincing as figures than as prose; make them publication-clean (vector output, readable fonts, CIs shown).
- Right precision. Two to three significant figures; do not report coefficients to five decimals.
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 · 95 lines · 0 tokens per session scan A 05c41c96fe9e
aeja-tables-figures 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 1,457 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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