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-rebuttalgit 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-rebuttal)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeri-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-rebuttal/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-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeri-rebuttal.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 | $0.01055 |
| Opus 5.5 | $0.00000 | $0.00422 |
| Sonnet 5.5 | $0.00000 | $0.00211 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
aeri-rebuttal 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conditional-Accept Response (aeri-rebuttal)
When to trigger
- A conditional accept letter arrived from AER: Insights
- You must return a revised short paper within the conditional window (~8 weeks)
- The letter lists changes the editor expects, and you need a tight response
- You received a reject and are deciding what to do (see end of this skill)
What an AER: Insights conditional accept means (检索于 2026-06；以官网为准)
AER: Insights does not issue traditional revise-and-resubmit decisions. A conditional accept means the editor expects to publish the paper subject to the changes in the decision letter; authors typically get about 8 weeks to return the revision, which is normally not sent back to referees. The conditions are meant to be achievable without substantial uncertainty — this is finishing, not relitigating. So the response is short, complete, and non-defensive: do what the letter asks, document it crisply, and do not reopen settled issues.
How to respond
- Treat the letter as a punch list. Map every requested change to a concrete edit; nothing is "optional."
- Comply, don't argue. Since there is no referee round to win, push back only where a request is genuinely infeasible or would be wrong — and then offer an alternative that satisfies the underlying concern.
- Keep the response letter short. One numbered item per request: the request, what you did, where in the paper (section/exhibit/line). Editors of a short journal reward concision.
- Protect the caps. Edits must keep the paper within 7,000 − 200×(#exhibits) words and ≤5 exhibits — added text or an added exhibit can re-breach the gate. Move new material to the Supplemental Appendix (
aeri-robustness). - Finalize the replication package. A conditional accept means the AEA Data Editor check is imminent; have the deposit ready (
aeri-replication-package). - Keep the single insight intact. Do not let requested additions turn the short paper into a sprawling one.
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 · 74 lines · 0 tokens per session scan A d1b7b6c414a7
aeri-rebuttal 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 1,055 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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