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Ccs Submission

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brycewang-stanford
ccs-submission

Use when auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and final-week sequencing.

Overview

Publisherbrycewang-stanford
RepositoryAwesome-Journal-Skills
Skill nameccs-submission
Stars
1.2K
Forks
159
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by brycewang-stanford on GitHub. Read the source before you install it.

Installation

Install the Ccs Submission AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-submission
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git /tmp/Awesome-Journal-Skills
mkdir -p .claude/skills
cp -r /tmp/Awesome-Journal-Skills/ACM-CCS-Skills/skills/ccs-submission .claude/skills/ccs-submission
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccs Submission in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ccs Submission on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ccs Submission is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CCS Submission

Use this for a CCS paper submission audit. Reopen the current Call for Papers, the cycle's HotCRP site, the ACM sigconf template, and the ethics policy before giving deadline-ready advice, because CCS rules and dates are set per cycle.

Submission audit

  • Confirm the target is the main CCS research track, not a workshop, poster, or the SIGSAC co-located events.
  • Register the abstract in HotCRP before the registration deadline. CCS requires a mandatory title, author list, abstract, and topics one week before the full-paper deadline; no abstract, no paper. In 2026 registration led the paper deadline by seven days each cycle.
  • Apply the unaltered ACM sigconf two-column template. CCS 2026 set a 12-page main-text limit excluding the bibliography, well-marked appendices, and supplementary material. Whitespace and margin tampering is forbidden and is a desk-reject trigger.
  • Enforce anonymization: cite your own prior work in the third person, blind references only where third-person phrasing is infeasible, and strip identity from text, PDF metadata, system names, and repository links.
  • Place the ethics considerations content in a dedicated section (in 2026, an appendix after the 12-page body and bibliography) whenever the work touches human subjects, user data, or real-world vulnerabilities.
  • Respect the per-cycle submission cap (2026: at most 7 papers per author per cycle) and the one-cycle rule — a first-cycle reject cannot return the same year.
  • Confirm the work is not concurrently under review at another archival venue.

Blocking risks

  • Missing abstract registration, or a late abstract or paper upload.
  • Overlength main text or an altered sigconf template.
  • Identity leak in the PDF, metadata, artifact link, or a non-blinded system name.
  • Missing ethics considerations section for work that plainly needs one.
  • Dual submission to another archival security venue.
  • A threat model too vague for reviewers to score the attacker.

Desk-reject and triage table

TriggerSeverity at CCSRepair window
No registered abstract by the deadlineCannot submitNone
Overlength 12-page body or template tamperingDesk rejectNone after the deadline
Identity leak in PDF or artifact linkDesk rejectNone
Ethics section missing for human-subjects/vuln workDesk reject or major flagOnly before the deadline
Vague threat modelReview-stage damageFixable in the writing pass

Final-week sequence for an attack-plus-defense paper

  1. Freeze the threat model and attacker-capability statement; reviewers score against it.
  2. Re-run the adaptive-attack evaluation from logged configs so the PDF and artifact agree.
  3. Draft the ethics and responsible-disclosure section against what you actually did.
  4. Strip PDF metadata, tool authorship strings, and repository owner names from every link.
  5. Register the abstract early, then confirm the HotCRP PDF matches the registered abstract.

Format anchors

  • CCS uses a dense two-column sigconf layout; wide system diagrams, protocol figures, and multi-column result tables that fit a one-column draft overflow, so compress early.
  • The page and cap numbers above describe the 2026 cycle; treat every number as provisional and recheck the current CFP before relying on it.

Output format

text
[CCS readiness] Ready / Needs fixes / Not ready
[Blocking checks] <abstract-reg / page / anonymity / ethics / dual-submission / cap>
[Threat-model risk] <one issue>
[Desk-reject risk] <one issue>
[Fix order] <ordered fixes before submission>

Frequently asked questions

What does the Ccs Submission AI skill do?

Use when auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and final-week sequencing.

Why use Ccs Submission on TypingMind?

Because you install it once and use it with any model. Ccs Submission is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ccs Submission in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-submission. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ccs Submission?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ccs Submission?

As many as you like. As long as a model supports skills, you can use Ccs Submission with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ccs Submission AI skill free?

Yes. It is published on GitHub by brycewang-stanford under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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