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Ccs Related Work

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brycewang-stanford
ccs-related-work

Use when positioning an ACM CCS submission against the security big-four and specialist literature, including arXiv preprints, prior CCS/S&P/USENIX/NDSS papers, concurrent disclosures, CVE and advisory records, and the attack-and-defense lineage that a SIGSAC program committee expects to see credited.

Overview

Publisherbrycewang-stanford
RepositoryAwesome-Journal-Skills
Skill nameccs-related-work
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 Related Work 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-related-work
  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-related-work .claude/skills/ccs-related-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccs Related Work 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 Related Work 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 Related Work 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 Related Work

Use this to audit novelty and eligibility. Reopen the current CFP for dual-submission, anonymity, and prior-publication rules before advising authors.

Positioning checks

  • Separate a genuine security advance from an engineering increment: a new attack class, a broken assumption, a defense with a new guarantee, or a measurement that overturns received wisdom.
  • Compare against all four top venues, not just CCS. A SIGSAC PC expects the nearest attack or defense from S&P, USENIX Security, and NDSS to be cited and distinguished.
  • Credit the practitioner and disclosure record: relevant CVEs, vendor advisories, and public exploit write-ups count as prior art at CCS even when they are not peer-reviewed papers.
  • Cite arXiv and preprint versions without breaking double-blind review; do not point reviewers to identity-revealing pages or your own advisory.
  • Explain overlap with any concurrent disclosure and do not submit duplicate archival work.
  • Use related work to sharpen the delta: a stronger attacker, a weaker assumption, a lower overhead, a wider measurement, or a defense where prior work had only detection.

Literature-lane table

Literature laneTypical sourcesWhat CCS reviewers check
Security big fourCCS, IEEE S&P, USENIX Security, NDSS proceedingsWhether the nearest attack/defense is compared or explicitly distinguished
Specialist venuesPETS/PoPETs, ESORICS, ACSAC, CRYPTO/EUROCRYPTWhether the sub-community's known results are acknowledged
Practitioner recordCVEs, vendor advisories, CTF and exploit write-upsWhether a known real-world case predates the claimed novelty

A bibliography citing only academic papers while ignoring a well-known CVE that already demonstrated the attack is a recognizable CCS reject pattern that no amount of measurement polish repairs.

Positioning vignette

Imagine the paper reports a new cache side-channel that recovers keys from a TLS library. Its nearest neighbors: an S&P paper with a slower channel, a USENIX defense that assumed the channel was impractical, and a public CVE for a related timing bug. The novelty sentence should name all three contrasts — a faster channel than the S&P line, a break of the USENIX paper's practicality assumption, and a distinct root cause from the CVE.

Concurrent-work judgment calls

  • Independently concurrent arXiv or disclosure work: cite neutrally, state the technical difference, and avoid priority claims reviewers cannot verify.
  • Your own prior workshop or poster version: usually citable and non-archival, but verify against the current CFP wording and phrase the citation to preserve double-blind review.
  • When unsure whether a co-located CCS workshop counts as archival overlap, declare it in the submission form rather than gambling on a chair's reading.

Output format

text
[Eligibility] clear / needs declaration / risky
[Closest literatures] <big-four / specialist / practitioner record>
[Nearest 3 works] <work -> distinction>
[Archival-overlap risk] <none / issues>
[Novelty sentence] <CCS-ready contribution contrast>

Frequently asked questions

What does the Ccs Related Work AI skill do?

Use when positioning an ACM CCS submission against the security big-four and specialist literature, including arXiv preprints, prior CCS/S&P/USENIX/NDSS papers, concurrent disclosures, CVE and advisory records, and the attack-and-defense lineage that a SIGSAC program committee expects to see credited.

Why use Ccs Related Work on TypingMind?

Because you install it once and use it with any model. Ccs Related Work 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 Related Work 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-related-work. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ccs Related Work?

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 Related Work?

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

Is the Ccs Related Work 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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