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 aejmic-referee-strategygit 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/aejmic-referee-strategy)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejmic-referee-strategy"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmic-referee-strategy/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/aejmic-referee-strategy"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejmic-referee-strategy.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 | $0.01181 |
| Opus 5.5 | $0.00000 | $0.00472 |
| Sonnet 5.5 | $0.00000 | $0.00236 |
| Haiku 4.5 | $0.00000 | $0.00118 |
Grade A, and why
aejmic-referee-strategy 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Referee Strategy (aejmic-referee-strategy)
When to trigger
- Before submission, to stress-test the paper against the objections experts will raise
- Deciding whether the contribution clears the desk-reject bar
- Choosing JEL codes / framing that route the paper to the right co-editor
- Unsure what the AEJ: Micro review process looks like
The AEJ: Micro process (检索于 2026-06；以官网为准)
- AEJ: Micro uses single-blind review via the AEA submission system: the referee sees the author, but referees are anonymous to authors. There is no anonymization burden — reputation is visible, so the paper must stand on rigor.
- There is a submission fee (AEA member $200 high-income / $100 middle / $0 low; nonmember higher — 检索于 2026-06，volatile), and JEL classification per AEA practice helps route the paper to the right co-editor and expert referees.
- Decisions run the usual ladder: desk reject → reject after review → R&R (minor/major) → accept. Theory referees verify proofs; a flawed or non-tight proof is a common reject reason.
- Re-confirm fee, timelines, and co-editor list on the official AEA AEJ: Micro page (see
resources/official-source-map.md).
Objections AEJ: Micro referees actually raise — and the pre-emption
| Likely objection | Pre-empt it by (skill) |
|---|---|
| "The result is a knife-edge artifact of assumption A." | Name the load-bearing assumption; show necessity / a counterexample on failure (aejmic-identification) |
| "This is too specialized / maximal-generality for AEJ: Micro." | Re-frame the broad-interest message; cut generality that hides it (aejmic-topic-selection, aejmic-theory-model) |
| "How does this differ from [closest result]?" | State the theorem-relative delta in one sentence (aejmic-literature-positioning) |
| "Does it survive [a continuum / asymmetry / perturbation]?" | Provide the earned extension or a clean negative result (aejmic-robustness) |
| "A step in the proof is asserted, not shown." | Complete the lemma scaffolding; self-contained proofs (aejmic-replication-package) |
| "The model is overloaded; the mechanism is invisible." | Reduce to the minimal environment; lead with intuition (aejmic-theory-model, aejmic-writing-style) |
| "This is an empirical paper, not theory." | Either restore the theoretical contribution or redirect to AEJ: Applied (aejmic-topic-selection) |
| (Applied) "Identification / inference is shaky; asterisks used." | Branch B/C identification; SEs not asterisks (aejmic-identification, aejmic-tables-figures) |
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 · 72 lines · 0 tokens per session scan A 5e4369a8b7a5
aejmic-referee-strategy 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 1,181 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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