ccs-review-process

ccs-review-process is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 55 tokens per session (718 once invoked), scanned A, original, MIT.

A planning guide for peer review at ACM CCS, a major computer-security conference. It covers the submission, rebuttal, decision, revision, and publication stages.

In plain words
What is it for?
Use it to plan a CCS submission, rebuttal, revisions, ethics disclosures, and camera-ready publication in the ACM Digital Library.
Why use it?
It explains how review works when reviewers test the attack assumptions, evidence, ethics, and responsible-disclosure choices. This helps authors prepare for outcomes beyond a simple accept-or-reject decision.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ACM-CCS-Skills plugin — 12 skills shipped together

Good fit Use it to plan a CCS submission, rebuttal, revisions, ethics disclosures, and camera-ready publication in the ACM Digital Library.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/ccs-review-process
About the project

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.

brycewang-stanford/Awesome-Journal-Skills · 1,097 stars · on GitHub · copaper.ai

Install

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.

Any agent
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-review-process
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install ACM-CCS-Skills, the plugin that ships this one along with the rest of its 12 skills.

Wrote 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.

agentmods badge for ccs-review-process

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process/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.

agentmods 80×15 button for ccs-review-process

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ccs-review-process.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 718 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00718
Opus 5 $0.00028 $0.00359
Sonnet 5 $0.00011 $0.00144
Haiku 4.5 $0.00006 $0.00072

Measured 13d ago against content hash c3514580044e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ccs-review-process 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 13d 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.

ACM-CCS-Skills/skills/ccs-review-process/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CCS Review Process

Use this to reason about review-stage strategy. Reopen the current CFP, the cycle's HotCRP site, the reviewer guidelines if posted, and the ethics policy before making process claims.

Process model

  • CCS runs two review cycles per year on HotCRP, each with abstract registration, full-paper submission, review, a rebuttal window, and notification.
  • Reviewers assess threat-model soundness, novelty, technical correctness, evidence quality, ethics and responsible disclosure, and significance to the security community.
  • Decisions are not binary: CCS 2026 used accept, minor revision (authors revise for the same cycle under a shepherd or check), and reject. A first-cycle reject cannot return that year.
  • An ethics or disclosure concern can sink an otherwise strong paper; the ethics reviewer's view carries weight independent of technical scores.
  • Accepted papers publish in the ACM Digital Library proceedings, so camera-ready and metadata compliance matter as much as the initial decision.

Who reviews here

  • The pool is adversarial by training: expect at least one reviewer to attack your threat model, look for the assumption that makes the attack easy, and probe whether the defense was tested against an adaptive attacker.
  • CCS is broad, so a paper may draw reviewers from an adjacent sub-area; the threat model and intro must orient a web-security reviewer to a crypto result and vice versa.
  • Borderline papers usually fall on one of three edges: an attacker assumption too strong to be interesting, a defense never adapted against, or an ethics gap left unaddressed.

Scoring leverage table

Review dimension What raises it What sinks it
Threat model A tight, realistic adversary stated up front Capabilities that quietly grow to make the attack work
Novelty An attack class or guarantee the literature lacked An increment over a cited paper with no new idea
Evidence End-to-end demonstration against a real target Lab-only results against a strawman
Ethics Disclosure done, harm minimized, reasoned in the paper Real-world harm with no disclosure or IRB reasoning

Read the full file on GitHub · 63 lines

Changes

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.

  1. 13d ago First seen · 63 lines · 55 tokens per session scan A c3514580044e

Subscribe to this mod's changes

ccs-review-process is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,097 stars, last pushed 16d ago), licensed MIT. It adds 55 tokens to every session and 718 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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