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 acmmm-writing-stylegit 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/acmmm-writing-style)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/acmmm-writing-style"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/acmmm-writing-style/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/acmmm-writing-style"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/acmmm-writing-style.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 | $0.00076 | $0.01167 |
| Opus 5.5 | $0.00030 | $0.00467 |
| Sonnet 5.5 | $0.00015 | $0.00233 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
acmmm-writing-style 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACM MM Writing Style
Use this to revise an ACM Multimedia draft for the venue's expectations. The reader is a busy reviewer scanning across sixteen thematic areas; the paper must announce what is multimedia about it before the model diagram.
The ACM MM first-page arc
Lead the abstract and first paragraph with: problem → why one modality is insufficient → the cross-modal method or system → media-grounded evidence → why it matters for multimedia. The multimedia contribution belongs on page one; a paper that opens with a single-modality benchmark reads as a CVPR or ACL paper that wandered in.
- State the fusion or systems mechanism as the contribution, not a backbone swap.
- Make every media element do work: a teaser figure that shows the cross-modal signal, a video that is evidence for a claim, an audio clip that a reader can check.
- Scope claims to what the evidence supports; "improves engagement" needs a measured engagement result behind it.
Media-as-evidence table
| Media element | Weak (decoration) | Strong (evidence) |
|---|---|---|
| Teaser figure | A pretty system diagram | The moment where modalities disagree and the method wins |
| Qualitative grid | Cherry-picked successes | Paired success/failure across modalities with captions that state the point |
| Supplementary video | "See our results" | A clip tied to a specific claim, with the baseline shown alongside |
| Audio sample | An unlabeled waveform | The case the vision-only baseline misses, annotated |
Compression into the sigconf body
The 6–8 page body is short by ACM standards, and figures compete with text for space.
- Push proofs, full protocols, extra qualitative media, and hyperparameter tables to the supplement; keep the body's argument self-contained without them.
- Write self-contained captions — a reviewer reading only figures and captions should grasp the cross-modal claim.
- Budget page space before writing: decide which two or three media elements earn body space and which move to the supplement.
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 · 106 lines · 76 tokens per session scan A f5b0f8fad408
acmmm-writing-style is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,320 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,167 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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