/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.
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-review-process --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ccs-review-process
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
ccs-review-process.SKILL.mdname: 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>
Read more
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>
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