/ccs-artifact-evaluation
Use when packaging ACM CCS artifacts for the artifact-evaluation committee and the ACM badges — Artifacts Available, Artifacts Evaluated Functional, Artifacts Evaluated Reusable, and Results Reproduced — covering what security evaluators inspect, how to make attacks and defenses
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-artifact-evaluation --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-artifact-evaluation
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when packaging ACM CCS artifacts for the artifact-evaluation committee and the ACM badges — Artifacts Available, Artifacts Evaluated Functional, Artifacts Evaluated Reusable, and Results Reproduced — covering what security evaluators inspect, how to make attacks and defenses
SKILL.md
ccs-artifact-evaluation.SKILL.mdname: ccs-artifact-evaluation
description: Use when packaging ACM CCS artifacts for the artifact-evaluation committee and the ACM badges — Artifacts Available, Artifacts Evaluated Functional, Artifacts Evaluated Reusable, and Results Reproduced — covering what security evaluators inspect, how to make attacks and defenses turnkey, and how to justify withheld artifacts.
CCS Artifact Evaluation
Use this for artifact packaging around CCS. CCS runs an optional artifact-evaluation process after acceptance; passing artifacts earn ACM badges that appear on the paper's first page. Reopen the current call for artifacts for the exact badge set, submission form, and deadlines.
The ACM badge ladder
| Badge | What it certifies | What the committee does | |---|---|---| | Artifacts Available | The artifact is publicly archived with a stable identifier | Confirms the artifact is retrievable and permanent | | Artifacts Evaluated - Functional | The artifact runs and does what the paper says | Executes it against the documented steps | | Artifacts Evaluated - Reusable | It exceeds functional quality and others can reuse it | Judges structure, documentation, and reusability | | Results Reproduced | The main paper results are independently reproduced | Reruns experiments and checks they support the claims |
Available is about archival permanence; Functional and Reusable are about quality; Results Reproduced is the highest bar and requires the committee to regenerate your headline numbers.
Artifact plan
- Decide which claims the artifact must support: the exploit, the defense overhead, the
measurement pipeline, or the protocol implementation.
- Make the security claim turnkey: one documented command per headline result, with expected
output, runtime, and the hardware assumed.
- Anonymize nothing at this stage — artifact evaluation is post-acceptance and single-blind or
open — but do pin versions, dependencies, and a container so it runs on a clean machine.
- For dangerous artifacts (working exploits, malware, live attack tooling), gate access,
document safe-handling, and follow the responsible-disclosure posture from the paper.
- Justify anything withheld: licensing, disclosure embargo, subject safety, or premature-release
risk, and offer partial, synthetic, or redacted substitutes that still let evaluators check the method.
What security evaluators open first
| Claim type | First artifact inspected | Common failure caught | |---|---|---| | Exploit against real software | The PoC and its target build instructions | Target version unspecified; PoC fails to build | | Defense with overhead numbers | The benchmark runner and instrumented build | Overhead cannot be reproduced; workload undocumented | | Measurement study | The collection and classification scripts | Classification rule differs from the paper's prose | | Cryptographic implementation | Test vectors and the reference build | No test vectors; outputs cannot be checked |
Worked vignette: packaging a fuzzing-tool artifact
A hypothetical accepted paper presents a new fuzzer that found N bugs. For Reusable and Results Reproduced: ship a container pinning the fuzzer, the target corpus, and the seed set; document one command to reproduce a representative crash and one to rerun a bounded campaign; provide the bug list with disclosure status; and note which crashes are embargoed pending vendor patches, offering redacted reproducers for those.
Output format
[Target badges] available / functional / reusable / results-reproduced
[Contents] <code / data / container / test vectors / logs>
[Turnkey level] one-command / scripted / descriptive / weak
[Safe-handling] <gating and disclosure posture for dangerous artifacts>
[Withheld-and-justified] <what and why, with substitute offered>
[Fixes before submission] <ordered list>
Read more
name: ccs-artifact-evaluation description: Use when packaging ACM CCS artifacts for the artifact-evaluation committee and the ACM badges — Artifacts Available, Artifacts Evaluated Functional, Artifacts Evaluated Reusable, and Results Reproduced — covering what security evaluators inspect, how to make attacks and defenses turnkey, and how to justify withheld artifacts.
CCS Artifact Evaluation
Use this for artifact packaging around CCS. CCS runs an optional artifact-evaluation process after acceptance; passing artifacts earn ACM badges that appear on the paper's first page. Reopen the current call for artifacts for the exact badge set, submission form, and deadlines.
The ACM badge ladder
| Badge | What it certifies | What the committee does | |---|---|---| | Artifacts Available | The artifact is publicly archived with a stable identifier | Confirms the artifact is retrievable and permanent | | Artifacts Evaluated - Functional | The artifact runs and does what the paper says | Executes it against the documented steps | | Artifacts Evaluated - Reusable | It exceeds functional quality and others can reuse it | Judges structure, documentation, and reusability | | Results Reproduced | The main paper results are independently reproduced | Reruns experiments and checks they support the claims |
Available is about archival permanence; Functional and Reusable are about quality; Results Reproduced is the highest bar and requires the committee to regenerate your headline numbers.
Artifact plan
- Decide which claims the artifact must support: the exploit, the defense overhead, the
measurement pipeline, or the protocol implementation.
- Make the security claim turnkey: one documented command per headline result, with expected
output, runtime, and the hardware assumed.
- Anonymize nothing at this stage — artifact evaluation is post-acceptance and single-blind or
open — but do pin versions, dependencies, and a container so it runs on a clean machine.
- For dangerous artifacts (working exploits, malware, live attack tooling), gate access,
document safe-handling, and follow the responsible-disclosure posture from the paper.
- Justify anything withheld: licensing, disclosure embargo, subject safety, or premature-release
risk, and offer partial, synthetic, or redacted substitutes that still let evaluators check the method.
What security evaluators open first
| Claim type | First artifact inspected | Common failure caught | |---|---|---| | Exploit against real software | The PoC and its target build instructions | Target version unspecified; PoC fails to build | | Defense with overhead numbers | The benchmark runner and instrumented build | Overhead cannot be reproduced; workload undocumented | | Measurement study | The collection and classification scripts | Classification rule differs from the paper's prose | | Cryptographic implementation | Test vectors and the reference build | No test vectors; outputs cannot be checked |
Worked vignette: packaging a fuzzing-tool artifact
A hypothetical accepted paper presents a new fuzzer that found N bugs. For Reusable and Results Reproduced: ship a container pinning the fuzzer, the target corpus, and the seed set; document one command to reproduce a representative crash and one to rerun a bounded campaign; provide the bug list with disclosure status; and note which crashes are embargoed pending vendor patches, offering redacted reproducers for those.
Output format
[Target badges] available / functional / reusable / results-reproduced [Contents] <code / data / container / test vectors / logs> [Turnkey level] one-command / scripted / descriptive / weak [Safe-handling] <gating and disclosure posture for dangerous artifacts> [Withheld-and-justified] <what and why, with substitute offered> [Fixes before submission] <ordered list>
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
Other skills on awesome-journal-skills.
- /aaai-artifact-evaluation
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
Open skill - /aaai-author-response
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round
Open skill - /aaai-camera-ready
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and
Open skill - /aaai-experiments
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and
Open skill - /aaai-related-work
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a
Open skill - /aaai-reproducibility
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that
Open skill

