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 amann-review-processgit 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/amann-review-process)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/amann-review-process"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amann-review-process/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/amann-review-process"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amann-review-process.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 | $0.00084 | $0.01131 |
| Opus 5.5 | $0.00034 | $0.00452 |
| Sonnet 5.5 | $0.00017 | $0.00226 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
amann-review-process 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Annals Review Process (amann-review-process)
When to trigger
- You are deciding whether to start now or wait for the next deadline
- You need to understand who reviews what, when, and how blinding changes between stages
- You are planning a realistic timeline from proposal to published review
- A coauthor assumes Annals works like a normal journal (it does not)
The two-step process is the defining feature
Annals does not accept full reviews cold. Intake is a gated, two-step process (检索于 2026-06；以官网为准):
| Stage | What happens | Blinding & reviewers | Output |
|---|---|---|---|
| 1. Proposal | Submit a ≤5-page proposal (four headings) at a deadline | Double-blind, reviewed by the Associate Editors | Invitation to develop the full review, or decline |
| 2. Invited full review | Develop the ~50-page review with editorial guidance | Forgoes double-blind; read by the Associate Editor and Editor | Conditional acceptance / revisions / decline |
The consequences are large: most of the gatekeeping happens at the lightweight proposal stage, and most of the development happens collaboratively with an editor who already endorsed the idea. This is closer to commissioning than to ordinary peer review — you are co-building an invited piece, not throwing a finished manuscript over the wall.
The cadence
- Deadlines: April 1 and October 1. Proposals are not reviewed until the deadline passes, so submitting early gains nothing on timing — but submitting late means waiting six months.
- Proposal decision: ~6 weeks after the deadline.
- Two issues per year (January and July). Plan the full-review development and revision around this rhythm.
- Full-review development is substantial. Budget months for reading, drafting, and likely multi-round revision with the editor — not a quick turnaround.
Planning the timeline
- Pick the deadline first. Decide which April 1 / October 1 window the proposal targets, and back-plan the proposal-writing from there.
- Do not over-invest before invitation. The proposal is the gate; do enough reading to write a credible "Review scope and process" and "New insights," but do not draft the full review before you are invited.
- On invitation, ramp the systematic search (
amann-literature-synthesis) — full coverage to saturation is now required. - Treat the editor as a partner through the editor-only full-review stage (
amann-editor-strategy); expect substantive revision rounds. - Re-confirm every volatile date and rule on the official pages before relying on them.
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 · 73 lines · 84 tokens per session scan A ac7a2aef9825
amann-review-process is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It adds 84 tokens to every session and 1,131 once invoked, about $0.0003 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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