aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when revising an ACM CCS paper for a precise threat model, calibrated attack/defense claims, 12-page ACM sigconf compression, double-blind wording, adaptive-evaluation honesty, and the security house style that survives an adversarial SIGSAC program committee.
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-writing-style -a windsurf -y
name: ccs-writing-style description: Use when revising an ACM CCS paper for a precise threat model, calibrated attack/defense claims, 12-page ACM sigconf compression, double-blind wording, adaptive-evaluation honesty, and the security house style that survives an adversarial SIGSAC program committee.
Use this when revising the main paper. CCS papers must state who the attacker is, what the contribution defends or breaks, and enough measured evidence that an adversarial reviewer cannot poke the central claim.
existing defenses or attacks, the mechanism, and the evidence that it works.
and goal before results; CCS reviewers reject on hidden or shifting adversary assumptions.
security claim without a bound on the adversary or a measured cost reads as marketing.
and formal proofs to appendices without making the body unintelligible.
to the environment, versions, and configuration measured.
descriptions.
CCS readers audit whether every attack step stays inside those capabilities.
conflated model is the most common source of "the attack assumes too much" reviews.
unlinkability) and say what "broken" means quantitatively.
measured only against the attack it was designed to stop is a standing CCS complaint.
security claim is a credibility leak at this venue.
| Draft pattern | CCS-safe rewrite | |---|---| | "Our attack is highly effective..." | "recovers the key in N queries against library X vY on platform Z" | | "Under realistic assumptions..." | "Under threat model T (network MITM, no host access)..." | | "Our defense is secure..." | "resists the adaptive attacker of Section 5 at C% overhead" | | "We significantly reduce risk..." | Claim scoped to the deployment and versions measured |
A draft with a full protocol description, four attack variants, a formal proof, and six measurement figures: keep the threat model, the strongest attack variant end to end, one proof sketch, and the two decision-critical figures (leakage rate and defense overhead); push the other variants, the full proof, and raw measurement tables to appendices with forward references. The test of a good cut: a reviewer should be able to judge novelty and soundness of the attack without opening the appendix.
[Writing diagnosis] clear / under-specified threat model / overclaimed / overloaded [First-page fix] <new framing> [Claim discipline] <claim -> proof/measurement/exploit/cost> [Compression cuts] <move/delete/merge> [Anonymity edits] <phrases to rewrite>
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