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ccs-review-process

Use when explaining or planning around ACM CCS peer review, the two-cycle HotCRP workflow, decision categories including minor revision, the rebuttal window, the adversarial reviewer pool, ethics and disclosure scrutiny, meta-review dynamics, and ACM proceedings outcomes.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-review-process

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Automation

Supported Platforms

Universal

Our assessment of ccs-review-process

ccs-review-process scores 83/100 on our quality scale, 2147th of 2,881 Automation skills we index.

Its SKILL.md is 3.4 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so ccs-review-process is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

ccs-review-process compared with similar skills

All 4 of these similar skills score higher than ccs-review-process; compare them before choosing.

SkillScoreStarsUpdatedFormat
ccs-review-process (this skill)by brycewang-stanford831.2k18d agoSKILL.md
Agent-Reachby Panniantong10089.0k17d agoCLAUDE.md
Scraplingby D4Vinci10085.3k2d agoMCP Server
rufloby ruvnet10073.8ktodayMCP Server
algorithmic-artby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install ccs-review-process?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-review-process. The install tabs above show the steps for each supported agent.
Which AI agents does ccs-review-process work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is ccs-review-process safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is ccs-review-process still maintained?
The repository was last updated 18 days ago, so ccs-review-process is actively maintained.

name: ccs-review-process description: Use when explaining or planning around ACM CCS peer review, the two-cycle HotCRP workflow, decision categories including minor revision, the rebuttal window, the adversarial reviewer pool, ethics and disclosure scrutiny, meta-review dynamics, and ACM proceedings outcomes.

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 |

Stage-by-stage realism

  • Initial reviews: triage by what the meta-reviewer will weigh — threat model and evidence — not by reviewer tone.
  • Rebuttal: the window is short and structured; one crisp answer to the decision-critical objection beats an exhaustive point-by-point.
  • Decision: the meta-review synthesizes; one unresolved threat-model or ethics objection outweighs several resolved clarity complaints.
  • Minor revision: treat it as conditional acceptance with a checklist, not a debate; do exactly what the shepherd asks within the cycle's timeline.

Output format

[Current stage] submitted / reviews / rebuttal / decision / revision / camera-ready
[Decision actors] <reviewers / ethics reviewer / meta-reviewer / chairs>
[Likely leverage] <threat model / novelty / evidence / ethics>
[Forbidden moves] <identity leak / new unsupported results / ignoring the shepherd>
[Next response move] <one action>

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryAutomation
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions