aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when strengthening ACM CCS reproducibility evidence, including the artifact-availability posture, threat-model-to-evidence mapping, attack reproduction steps, defense overhead measurement, measurement-dataset provenance, environment and version pinning, and honest
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-reproducibility -a windsurf -y
name: ccs-reproducibility description: Use when strengthening ACM CCS reproducibility evidence, including the artifact-availability posture, threat-model-to-evidence mapping, attack reproduction steps, defense overhead measurement, measurement-dataset provenance, environment and version pinning, and honest justification when artifacts cannot be shared.
Use this before submission and again before the artifact-evaluation deadline. Reopen the current CFP and call for artifacts to confirm what availability statement and packaging CCS expects this cycle.
verifiable location: a script, a config, a dataset, a proof, or a logged run.
budget, and the sequence of steps that reproduce the exploit.
adaptive attacker used, so the cost-versus-security tradeoff can be rechecked.
known blind spots, and the ground-truth validation.
premature-release risk — say so explicitly and offer partial, synthetic, or redacted artifacts that still let a reader assess the methodology.
| Claim type | What full sharing looks like | Honest fallback when sharing is blocked | |---|---|---| | Exploit against deployed software | Runnable PoC plus target build | Redacted PoC, disclosed-and-patched note, synthetic target | | Defense with overhead numbers | Instrumented build and benchmark scripts | Binaries plus measurement scripts if source is proprietary | | Internet-scale measurement | Dataset plus collection tooling | Aggregated data with subject-privacy justification for the rest | | Cryptographic protocol | Reference implementation and test vectors | Spec plus test vectors if the implementation is embargoed |
Claiming an artifact is unavailable without a reason CCS accepts (a license, a disclosure embargo, subject safety) reads as evasion; state the specific reason and offer the closest shareable substitute.
Consider a study scanning the Internet for a misconfiguration. Its reproducibility spine: the scan methodology and rate-limiting, the classification rule for "vulnerable," the ground-truth sample validated by hand, the ethics of scanning and notification, and an aggregated dataset that preserves the finding without exposing individual vulnerable hosts to opportunistic attackers.
For CCS, aim turnkey for anything you submit to artifact evaluation, and state the achieved level honestly rather than overpromising a one-command reproduction that fails on a clean host.
[Claim inventory] <claim -> evidence location> [Availability posture] full / partial / justified-withheld [Reproducibility gaps] <versions / configs / budgets / provenance / ethics> [Paper fixes] <must appear in main PDF or appendix> [Artifact fixes] <packaging additions before the AE deadline>
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