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-workflowgit 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-workflow)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/acmmm-workflow"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/acmmm-workflow/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-workflow"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/acmmm-workflow.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 | $0.00075 | $0.01150 |
| Opus 5.5 | $0.00030 | $0.00460 |
| Sonnet 5.5 | $0.00015 | $0.00230 |
| Haiku 4.5 | $0.00007 | $0.00115 |
Grade A, and why
acmmm-workflow 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACM MM Workflow
Use this to run an ACM Multimedia submission as a scheduled campaign rather than a deadline scramble. The SIGMM calendar has a long gap between the April submission chain and the July decision, so the work clusters at the front and the back.
The ACM MM calendar (2026 anchors, AoE)
| Phase | 2026 date | What must be true | Skill |
|---|---|---|---|
| Scope + track choice | pre-March | Contribution is cross-modal; thematic area and track chosen | acmmm-topic-selection |
| Draft + evidence | March | First page leads with the multimedia claim; ablations planned | acmmm-writing-style, acmmm-experiments |
| Abstract | Mar 25 | Abstract registered in OpenReview | acmmm-submission |
| Paper | Apr 1 | 6–8 sigconf pages, anonymous, final PDF | acmmm-submission |
| Supplement | Apr 8 | Media/appendix package, anonymous, plays | acmmm-supplementary |
| Rebuttal | ~Jun 4 | Anonymous response, small confirmatory results | acmmm-author-response |
| Notification | ~early Jul | Decision + tier | acmmm-review-process |
| Camera-ready | ~Aug 6 | De-anonymized ACM version, artifact released | acmmm-camera-ready |
| Conference | Nov 10–14 | Registered; media-ready talk/poster | acmmm-camera-ready |
Treat these dates as the 2026 snapshot; reopen the current site each cycle. Note the 2026 notification date was listed inconsistently (July 7 on the CFP vs. July 9 elsewhere).
Front-loaded work (before April)
The April chain is unforgiving because three deadlines land in eight days. Do the slow work early:
- Lock the thematic area and track — they set format and blinding, and switching late is expensive.
- Build the cross-modal evidence: matched baselines and the leave-one-modality-out ablation that proves the fusion matters.
- Plan any user study now; recruiting raters cannot be done in the final week.
- Draft so the first page already leads with the multimedia contribution.
The three-deadline sprint
T-14d: freeze claims; media assets rendering from scripts
T-7d: body fits 6-8 sigconf pages; references on overflow pages only
Mar 25: abstract registered (do not miss the earliest deadline)
Apr 1: paper PDF final, anonymous, metadata-clean
Apr 8: supplement packaged, anonymous, media plays for a stranger
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 · 94 lines · 75 tokens per session scan A b26eb87a8eb4
acmmm-workflow is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,320 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,150 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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