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-camera-readygit 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-camera-ready)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aistats-camera-ready"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-camera-ready/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-camera-ready"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-camera-ready.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 | $0.00063 | $0.00696 |
| Opus 5.5 | $0.00025 | $0.00278 |
| Sonnet 5.5 | $0.00013 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
aistats-camera-ready 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AISTATS Camera Ready
Use this after acceptance. Reopen the current AISTATS camera-ready instructions, PMLR author kit, registration page, presentation policy, and OpenReview decision email before advising authors.
Camera-ready audit
- Convert the anonymous submission to the public proceedings version: names, affiliations, acknowledgements, funding, code/data links, and author metadata.
- Apply the current final-page limit. AISTATS 2026 allowed a 9-page camera-ready body, excluding references and supplementary material.
- Check PMLR formatting, title/abstract metadata, author order, bibliography, appendix placement, and any required release or copyright forms.
- Resolve reviewer and meta-review concerns without changing the accepted contribution beyond normal camera-ready clarification.
- Prepare public artifacts: repository, data, model checkpoints, environment files, and archival links after anonymity no longer matters.
- Confirm registration and presentation obligations. AISTATS 2026 required in-person attendance by at least one author for each accepted paper, with no remote presentation.
PMLR two-column reflow
- AISTATS proceedings use a two-column PMLR layout; switching the style file from anonymous to accepted mode changes spacing, so recheck every page break, figure placement, and table width after the flip.
- Wide theorem environments, long display equations, and multi-panel rate plots often need full-width spans; verify nothing is clipped at column boundaries.
- Material that fit the submission body can overflow once the author block, acknowledgements, and funding lines are added; the extra camera-ready page usually absorbs this, but confirm rather than assume.
- Keep theorem, assumption, and equation numbering identical to the reviewed version so the meta-review and discussion record remain traceable to the final text.
De-anonymization sweep
- Restore the author block, acknowledgements, grants, and any contribution statements the anonymous version stripped.
- Rewrite self-citations into natural first-person form where it improves clarity.
- Replace anonymized repository placeholders with the public, licensed, citable archive and test every link from a logged-out browser.
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 · 69 lines · 63 tokens per session scan A 3c327aefbbbd
aistats-camera-ready is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It adds 63 tokens to every session and 696 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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