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-processInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ccs-review-process (this skill)by brycewang-stanford | 83 | 1.2k | 18d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 89.0k | 17d ago | CLAUDE.md |
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| rufloby ruvnet | 100 | 73.8k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.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.
Skill content
View source on GitHubname: 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>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
