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 aaai-submissiongit 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/aaai-submission)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aaai-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aaai-submission/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/aaai-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aaai-submission.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01366 |
| Opus 5.5 | $0.00020 | $0.00546 |
| Sonnet 5.5 | $0.00010 | $0.00273 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
aaai-submission 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AAAI Submission
Use this for an AAAI main technical track submission audit. Reopen the current conference page, Author Kit, CFP, submission instructions, review process page, supplementary-material page, and author policies before giving deadline-ready advice.
Submission audit
- Confirm the target track: Main Track, AI for Social Impact, AI Alignment, or another AAAI program. Track-specific rules can differ.
- Verify OpenReview account/profile readiness, conflicts, author list, subject areas, and submission metadata before the abstract and paper deadlines.
- Check the current AAAI author kit. AAAI-27 submissions use AAAI two-column camera-ready style and US Letter PDF, with a main PDF of at most 9 pages whose pages 8-9 are references only — 7 pages of non-reference content. Any ethical statement counts inside those 7 pages.
- Confirm double-blind compliance in the PDF, file names, references to prior work, supplement, code/data, and metadata. Omit acknowledgments in the review version.
- Upload the reproducibility checklist in its own submission field, not inside the paper PDF — AAAI-27 moved it out of the document, and a checklist buried after the references is now a missing checklist.
- Enforce the author submission limit and author-change rules. AAAI-27 limits each author to 10 combined main-technical-track submissions (the AI Alignment and AI for Social Impact special tracks are excluded from that count), allows no author additions after submission, and permits modifications only until the full-paper deadline.
- Check multiple-submission compliance. An AAAI submission under review cannot simultaneously be under review at another archival venue, and AAAI-27 names the patterns it treats as violations: cosmetic re-submission, "thin slicing" one contribution across papers, splitting results by method/dataset/domain, and obfuscated or "alternative universe" duplicates. Papers sharing authors may be assessed together for novelty.
- Apply the current AAAI AI-use policy: editing/polishing author-written text may be allowed, but LLM-generated manuscript text, AI authorship, and AI-generated citations are policy risks.
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 · 111 lines · 51 tokens per session scan A 5184922261ec
aaai-submission is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,320 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,366 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 2026-08-30.
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