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 aistats-author-responsegit 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/aistats-author-response)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aistats-author-response"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-author-response/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/aistats-author-response"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-author-response.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 | $0.00062 | $0.00777 |
| Opus 5.5 | $0.00025 | $0.00311 |
| Sonnet 5.5 | $0.00012 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
aistats-author-response 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AISTATS Author Response
Use this after AISTATS reviews are released. Reopen the current OpenReview instructions and author-discussion policy before drafting because response mechanics are cycle-specific.
Triage
- Answer concerns that affect correctness, novelty, statistical validity, clarity, reproducibility, or fit for AISTATS.
- Use existing submitted evidence: paper sections, appendices, supplementary material, theorem statements, experiments, checklist entries, and code/data descriptions.
- Keep the reply anonymous. Do not reveal institution, authorship, grants, private URLs, or repository ownership.
- Treat discussion as clarification, not revision. Do not depend on uploading a revised paper or new supplement unless current instructions explicitly allow it.
- If current rules prohibit links, do not use URLs in the discussion. AISTATS 2026 author-reviewer discussion was text-only and links were not allowed.
- Correct factual errors first, then address requests for missing comparisons, uncertainty estimates, proofs, or hyperparameters.
Drafting pattern
- State the decision-critical correction or concession.
- Point to exact submitted evidence.
- Explain the statistical or theoretical consequence.
- Promise a camera-ready wording fix only if it does not add unsupported new claims.
Statistician-reviewer pushback patterns
| Pushback | What it signals | AISTATS-ready fix |
|---|---|---|
| "Assumption A3 seems strong" | The reviewer traced the proof chain | Point to where A3 is verified, weakened, or shown necessary; never dismiss it as standard without a citation |
| "The experiments violate the theorem conditions" | Theory-experiment mismatch spotted | Identify which conclusions survive misspecification and cite the robustness simulation that shows it |
| "Observed rates do not match the bound" | The reviewer compared empirical slopes against theory | Reference the log-log plot, or explain the constant-dominated regime at the tested sample sizes |
| "Comparison with the classical statistical method is missing" | Statistics-literature gap | Anchor to the appendix comparison, or concede and scope a camera-ready clarification |
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 · 71 lines · 62 tokens per session scan A e2a484e56d47
aistats-author-response is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It adds 62 tokens to every session and 777 once invoked, about $0.0002 per session on Opus 5.5. 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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