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 aejpol-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/aejpol-rebuttal)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejpol-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-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/aejpol-rebuttal"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-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 | $0.01240 |
| Opus 5.5 | $0.00000 | $0.00496 |
| Sonnet 5.5 | $0.00000 | $0.00248 |
| Haiku 4.5 | $0.00000 | $0.00124 |
Grade A, and why
aejpol-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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rebuttal & Response Letter (aejpol-rebuttal)
When to trigger
- An AEJ: Policy R&R or major-revision letter arrived and you must plan the response
- Referee reports conflict and you need an editor-anchored prioritization
- You need to convert reports into a revision plan plus a point-by-point letter
- A resubmission needs a cover note showing how every comment was addressed
How to run an AEJ: Policy revision
The editor's letter is the contract — prioritize what the editor emphasizes, then address every referee point. At AEJ: Policy the recurring high-stakes asks are about (a) the credibility of the causal claim, (b) the welfare / policy reading, and (c) robustness and reproducibility. Treat the response as a chance to make the policy contribution more prominent, not just to patch holes.
Structure of the response
- Editor-first summary. Open the letter with a short paragraph naming the 2–3 changes that address the editor's main concerns, and how the paper is now a stronger policy contribution.
- Point-by-point, per referee. Quote each comment; respond with what you changed, where (section/table/figure), and the result. Concede where the referee is right; defend with evidence where they are not — politely and with a specific exhibit.
- A "what's new" map. A table mapping each major comment to the revision so the editor can verify coverage at a glance.
AEJ: Policy-specific response moves
- "Not a policy paper" / "so what": strengthen the policy question in the abstract/intro and add or sharpen the welfare/cost-benefit reading (
aejpol-theory-model); do not just add caveats. - Identification doubts: add the heterogeneity-robust estimator, the honest-DID bound, or the density/first-stage diagnostic into the main text and reference it in the letter.
- Welfare hand-waving: derive the sufficient statistic / MVPF explicitly and propagate uncertainty.
- Reproducibility flagged: confirm the AEA-compliant package and restricted-data path are ready (
aejpol-replication-package). - Conflicting referees: state the conflict, follow the editor's steer, and where you cannot satisfy both, explain the trade-off transparently.
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 · 79 lines · 0 tokens per session scan A 52883973778f
aejpol-rebuttal is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,372 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,240 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.
aejpol-rebuttal compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aejpol-rebuttalbrycewang-stanford/Awesome-Journal-Skills | Skill | 1.4k | 1mo ago | MIT | A | 0 | Claude Code |
| alterlab-qiime2-ampliconAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 270 | Claude Code |
| alterlab-paper-writerAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 271 | Claude Code |
| alterlab-citation-verifierAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 218 | Claude Code |
| alterlab-timesfmAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 150 | Claude Code |
| fin-submit-checkcsmar432/finai-research | Skill | 109 | 3d ago | MIT | A | 37 | Claude Code, Codex |
| alterlab-phylogeneticsAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 152 | Claude Code |