A skill your agent uses when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind…

MITAuto-check passedResearch & Science

Install Acmmm Submission

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-submission -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-submission --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-submission .claude/skills/acmmm-submission && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
acmmm-submission
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
702 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind…

  • Works in 5 steps: Freeze the thematic-area choice and… → Re-render every figure and media clip… → Anonymize media: strip author names from… → …
  • Auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice
  • SKILL.md covers Submission audit, Blocking risks, Desk-reject and triage table and Last-week sequence for a…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Acmmm Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Reproducible research. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice
  • The 6-8 page ACM sigconf budget
  • References-only overflow
  • Double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks

Example prompts

  • “/acmmm-submission”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Freeze the thematic-area choice and confirm the paper's claims match that area's scope.
  2. Re-render every figure and media clip from scripts so body, supplement, and PDF agree.
  3. Anonymize media: strip author names from filenames, EXIF/metadata, and any on-screen
  4. Confirm the OpenReview abstract matches the PDF abstract word for word.
  5. Verify the body fits 8 pages with the overflow pages holding references only.

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Acmmm Submission loads about 1.4k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 702 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 702 words, ~1,408 tokens.

Download SKILL.mdSave it as .claude/skills/acmmm-submission/SKILL.md (or your agent's skills folder).
name
acmmm-submission
description
Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.

ACM MM Submission

Use this to run a pre-deadline audit of an ACM Multimedia paper. Reopen the current Call for Technical Papers, the Topics of Interest page, each relevant track call, and the OpenReview group before giving deadline-ready advice — ACM MM rewrites these each edition.

Submission audit

  • Confirm the target is the ACM MM main conference (or a specific track), not a co-located workshop, ACM MM Asia, MMSys, or ICMR.
  • Choose the thematic area deliberately: it routes the paper to a reviewer pool, and a mismatched area is a quiet source of off-topic reviews.
  • Apply the current ACM sigconf template with no margin, font, or spacing edits. ACM MM 2026 used a 6–8 page body; references may spill onto up to two additional pages that contain only references.
  • Enforce double-blind anonymity across the paper, appendix, supplement, code, media assets, filenames, PDF metadata, and repository links — unless submitting to the named single-blind tracks (Reproducibility, Open Source Software, Dataset), where the artifact's identity is expected.
  • Register the abstract before the abstract deadline; the paper and the supplement have their own later deadlines (in 2026: abstract Mar 25, paper Apr 1, supplement Apr 8, AoE).
  • Check concurrent-submission rules and prior-publication status; do not keep the same work under review at another archival venue when ACM MM forbids it.

Blocking risks

  • Late abstract registration or paper upload.
  • Overlength body or a tampered sigconf template.
  • Identity leak in the PDF, media metadata, demo watermark, or repository link (on a double-blind track).
  • Wrong track blinding — anonymizing a Dataset/Open-Source submission, or de-anonymizing a main-track one.
  • Non-rendering or proprietary-format supplementary media.
  • Dual submission to another archival venue.

Desk-reject and triage table

TriggerSeverity at ACM MMRepair window
Overlength body (past 8 pages)Desk rejectNone after the deadline
Non-references content on the overflow pagesDesk reject or chair flagBefore the deadline only
Author identity in a double-blind PDF/mediaDesk rejectNone
Wrong thematic areaOff-topic reviews, not a desk rejectFixable before the paper deadline
Supplement that will not play for a reviewerLost evidenceFixable before the supplement deadline
Missing OpenReview coauthor profilesSubmission blockedBefore the deadline

Last-week sequence for a cross-modal paper

  1. Freeze the thematic-area choice and confirm the paper's claims match that area's scope.
  2. Re-render every figure and media clip from scripts so body, supplement, and PDF agree.
  3. Anonymize media: strip author names from filenames, EXIF/metadata, and any on-screen watermark, and route dataset/demo links through an anonymous mirror.
  4. Confirm the OpenReview abstract matches the PDF abstract word for word.
  5. Verify the body fits 8 pages with the overflow pages holding references only.
Show full SKILL.md (267 more words)Show less

OpenReview mechanics that trip people up

ACM MM runs on OpenReview, but the failure modes are administrative, not intellectual:

  • Every coauthor needs a complete OpenReview profile with a real institutional history, or the submission is blocked or the conflict graph is wrong.
  • The abstract is registered before the paper — a separate, earlier deadline. Missing it forecloses the paper deadline entirely.
  • Declare conflicts honestly; an undeclared conflict discovered later can sink a paper.
  • The thematic area is set at submission and is hard to change afterward; it selects your reviewers, so treat it as a first-class decision, not a dropdown afterthought.

Track and blinding double-check

The most ACM MM-specific desk-reject cause is submitting to the wrong track's blinding regime.

If you are submitting to...BlindingSo the PDF must...
Main track / Brave New IdeasDouble-blindHide all author identity, in text, media, and links
Reproducibility trackSingle-blindName the artifact and its authors as expected
Open Source Software CompetitionSingle-blindPresent the real project and repository
Dataset trackSingle-blindIdentify the dataset and its providers

Anonymizing a single-blind submission (or de-anonymizing a double-blind one) both signal that the authors did not read the track call — fix it before upload, not after.

Format anchors

  • ACM MM's two-column sigconf layout compresses hard: wide multimodal figures, algorithm blocks, and qualitative media grids overflow the 8-page body, so budget page space as a design decision early, not on deadline night.
  • The page counts, deadlines, and track blinding cited here describe the 2026 cycle; treat every number as provisional and recheck the current CFP and track calls before relying on it.

Output format

text
[ACM MM readiness] Ready / Needs fixes / Not ready
[Track + thematic area] <main/BNI/dataset/... + area>
[Blocking checks] <OpenReview/page/anonymity/media/dual-submission>
[Cross-modal evidence risk] <one issue>
[Desk-reject risk] <one issue>
[Fix order] <ordered fixes before submission>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ACM-MM-Skills/skills/acmmm-submission of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Acmmm Submission next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Acmmm Submission this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
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CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Acmmm Submission

What does Acmmm Submission do?

A skill your agent uses when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind…. Acmmm Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.

When should I use Acmmm Submission?

Acmmm Submission fits situations like: auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice; the 6-8 page ACM sigconf budget; references-only overflow; double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks.

How do I install Acmmm Submission in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-submission -a claude-code`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-submission in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acmmm-submission in your project. Claude Code loads it when a task matches its description.

How do I install Acmmm Submission in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-submission -a codex`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-submission in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acmmm-submission in your project. Codex loads it when a task matches its description.

Can I use Acmmm Submission in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-submission -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acmmm-submission, .gemini/skills/acmmm-submission, .github/skills/acmmm-submission and .opencode/skills/acmmm-submission in your project.

What does Acmmm Submission need to run?

SKILL.md names no scripts, command-line tools or credentials: Acmmm Submission is instructions for the agent only.

Does Acmmm Submission access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Acmmm Submission safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Acmmm Submission use?

Acmmm Submission is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Acmmm Submission use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Acmmm Submission?

Skills that share tags, products or a category with Acmmm Submission: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Acmmm Submission?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.