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 aeri-robustnessgit 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/aeri-robustness)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeri-robustness"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-robustness/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/aeri-robustness"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-robustness.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 | $0.01218 |
| Opus 5.5 | $0.00000 | $0.00487 |
| Sonnet 5.5 | $0.00000 | $0.00244 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
aeri-robustness 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Robustness — Triage Against the Cap (aeri-robustness)
When to trigger
- The robustness section is sprawling and competing with the result for word budget
- You have ten checks and at most one or two can appear in-text
- A referee will ask for a check the short paper has no room to add in full
- Unsure what is load-bearing robustness vs. reassurance that can go online
The short-format robustness problem
A standard paper answers every threat in-text; AER: Insights cannot. With ≤7,000 words (minus 200 per exhibit, ≤5 exhibits), robustness must be triaged: keep in-text only the one or two checks that, if they failed, would kill the headline result, and move everything else to the Supplemental Appendix (which has no length cap but is read only by skeptics and the data editor). The skill is deciding the minimum credible set of in-text checks and signposting the rest in a single sentence.
The triage rule
For each candidate check, ask: "If a referee saw only the main text, would the absence of this check make them disbelieve the headline result?"
| Answer | Placement |
|---|---|
| Yes — it defends the core identifying assumption | In-text (1–2 max), often a single robustness exhibit or a sentence |
| No — it reassures but the result survives without seeing it | Supplemental Appendix, named in one in-text sentence |
| It is really an extension / new question | Appendix or a different paper, not "robustness" |
What usually earns an in-text slot
- The one check that directly tests the central identifying assumption (e.g., pre-trends for DiD, the donut/bandwidth for RDD, the exclusion falsification for IV).
- A single specification curve summary or a one-line "results are stable across N specifications (Appendix Table X)" rather than the full grid.
- For an experiment: the pre-registered primary outcome's robustness to attrition bounds.
What goes to the Supplemental Appendix
- Alternative bandwidths, functional forms, sample windows, fixed-effect structures
- Placebo tests beyond the single most informative one
- Heterogeneity splits (these are not robustness; they are extensions)
- Multiple-testing-adjusted versions, alternative clustering, leave-one-out
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 · 88 lines · 0 tokens per session scan A 9aa1f977d49a
aeri-robustness 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 1,218 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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