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 aamas-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/aamas-camera-ready)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aamas-camera-ready"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aamas-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/aamas-camera-ready"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aamas-camera-ready.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 | $0.00071 | $0.00861 |
| Opus 5 | $0.00036 | $0.00430 |
| Sonnet 5 | $0.00014 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
aamas-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 12d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AAMAS Camera Ready
Use this after acceptance. Reopen the current AAMAS camera-ready instructions, the proceedings author kit, the registration page, and the decision notice before advising authors; AAMAS proceedings are published open-access by IFAAMAS.
Camera-ready audit
- Convert the anonymous submission to the public version: author names, affiliations, acknowledgements, funding, and de-anonymized code, data, and environment links.
- Apply the current final-page rules and template. Confirm whether the accepted-paper mode changes the page budget from the 8-page submission body, and reflow accordingly.
- Check proceedings metadata: title, abstract, author order and ORCID, subject areas, bibliography, and any required copyright or release form.
- Integrate every rebuttal-stage promise without expanding the accepted contribution: a wording fix, a moved assumption, or an added caption line - not a new experiment.
- Prepare the public artifact: repository, multiagent environments, opponent/population sets, seeds, checkpoints, and an archival citation, now that anonymity no longer applies.
- Confirm registration and in-person presentation obligations for at least one author.
Anonymous-to-final flip: what to recheck
| Element | Submission (anonymous) | Camera-ready (final) |
|---|---|---|
| Page one | Tracking number, no author block | Author names, affiliations, ORCID |
| Acknowledgements / funding | Removed | Restored |
| Code / environment links | Anonymized placeholder | Public, licensed, citable archive |
| Self-citation phrasing | "prior work [anon]" | Natural first-person, de-anonymized |
| Page budget | 8-page body | Confirm the accepted-paper budget, then reflow |
Two-column reflow for multiagent papers
- Switching the style file from anonymous to final mode changes spacing; recheck every page break, figure placement, and table width after the flip.
- Extensive-form game trees, payoff matrices, and multi-panel learning curves often need full-width spans; verify nothing is clipped at the column boundary.
- Material that fit under the tracking number can overflow once the author block and acknowledgements are added; confirm rather than assume the budget absorbs it.
- Keep theorem, assumption, and game-definition numbering identical to the reviewed version so the public reviews on OpenReview remain traceable to the final text.
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.
- 12d ago First seen · 77 lines · 71 tokens per session scan A 3a5216525c79
aamas-camera-ready is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,097 stars, last pushed 16d ago), licensed MIT. It adds 71 tokens to every session and 861 once invoked, about $0.0004 per session on Opus 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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