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-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/aejmac-rebuttal)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejmac-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmac-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/aejmac-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmac-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 | $0.01177 |
| Opus 5.5 | $0.00000 | $0.00471 |
| Sonnet 5.5 | $0.00000 | $0.00235 |
| Haiku 4.5 | $0.00000 | $0.00118 |
Grade A, and why
aejmac-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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rebuttal & Response Letter (aejmac-rebuttal)
When to trigger
- An R&R from the editor/coeditor and referees has arrived
- A reject-with-comments where a re-submission (here or elsewhere) is being weighed
- Referee reports conflict with each other and you must reconcile them
- You need to convert a pile of macro objections into a tractable revision plan
The AEJ: Macro rebuttal posture
AEJ: Macro review is single-blind and editor/coeditor-managed; the coeditor's letter is the binding instruction set — when a referee and the coeditor disagree, follow the coeditor. The response must show that the broad-interest macro contribution survived the scrutiny and that the identified-empirical and/or quantitative-model objections are answered with new exhibits, not new prose alone. Macro referees reward a response that re-runs the decisive check and reports the (possibly changed) number honestly.
Building the response
Step 1 — Triage every comment
- Build a table: comment → required action → owning skill → main-text vs. appendix → status.
- Tag each as (a) do and show, (b) do and report even if it weakens the result, or (c) reasoned pushback. Most should be (a)/(b); reserve (c) for the few you can win on the merits.
Step 2 — Map comments to the macro skills
- Identification objections →
aejmac-identification(re-do the SVAR/LP/narrative defense). - "Artifact of the sample/spec" →
aejmac-robustness(sample splits, method cross-check). - Calibration / counterfactual / Lucas-critique →
aejmac-theory-model. - "Not broad enough" / contribution unclear →
aejmac-literature-positioning/aejmac-writing-style. - Reproducibility →
aejmac-replication-package.
Step 3 — Write the letter
- Open with a short summary of the main changes and the headline (state if the number moved).
- One comment, one response block: restate the comment, state what you did, point to the exact new table/figure/section, quote the changed text.
- Be honest about movement: if a robustness check changed the estimate, report the new value and explain why the conclusion still holds (or how it is now appropriately qualified).
- Push back sparingly and with evidence, never with attitude; concede gracefully where the referee is right.
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 · 75 lines · 0 tokens per session scan A 452852fe5ea7
aejmac-rebuttal 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 1,177 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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