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QualityStata

CCS Artifact Evaluation

by brycewang-stanford

CCS Artifact Evaluation is a Quality skill for Claude Code, published by brycewang-stanford in Awesome-Journal-Skills.

974 stars125 forkson brycewang-stanford/Awesome-Journal-SkillsAdded 2026/08/12+2% in starsRepository updated 2026/08/09
academic-researchacademic-writingagent-skillsai-agentsanthropicawesome-listcausal-inferenceclaudeclaude-codeeconometricseconomicsempirical-researchfinancejournalllmmcppeer-reviewreplicationresearch-toolsscholarly-publishing
Install in seconds
Install CCS Artifact Evaluation
Copy CCS Artifact Evaluation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-CCS-Skills/skills/ccs-artifact-evaluation ~/.claude/skills/ccs-artifact-evaluation

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/brycewang-stanford/Awesome-Journal-Skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
ACM-CCS-Skills/skills/ccs-artifact-evaluation/SKILL.md in brycewang-stanford/Awesome-Journal-Skills
Installs to
~/.claude/skills/ccs-artifact-evaluation
Collection
One of 53 skills cataloged from this repository
Category
Quality โ€” 1354 skills

What CCS Artifact Evaluation does

CCS Artifact Evaluation helps package accepted security research artifacts for ACM badges and committee review. It covers reproducible setup, turnkey attack or defense demos, safe handling, and justifying withheld files.

CCS Artifact Evaluation is cataloged under Quality on DirSkills. CCS Artifact Evaluation comes from a repository tagged academic-research, academic-writing, agent-skills, ai-agents and anthropic.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about CCS Artifact Evaluation

  • What else does brycewang-stanford publish alongside CCS Artifact Evaluation?

    CCS Artifact Evaluation is one of 53 skills that DirSkills catalogs from brycewang-stanford/Awesome-Journal-Skills, the repository it ships in. Its siblings there include AAAI Artifact Evaluation, AAAI Author Response and AAAI Camera Ready. Each one is a separate skill with its own page in this directory, installs the same way CCS Artifact Evaluation does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Awesome-Journal-Skills page.

  • How does CCS Artifact Evaluation compare to other Quality skills?

    CCS Artifact Evaluation ranks #856 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of CCS Artifact Evaluation against them. Open each page to compare what they document and how they install.

More from brycewang-stanford/Awesome-Journal-Skills

CCS Artifact Evaluation is one of 53 skills cataloged on DirSkills from brycewang-stanford/Awesome-Journal-Skills.

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AAAI Camera Ready

Use when preparing an accepted AAAI paper for camera-ready submission. It covers page limits, template compliance, deanonymization, copyright transfer, registration, and final source-file checks.
Writing
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AAAI Experiments

Audit AAAI experiments for baselines, ablations, significance, robustness, human evaluation, and reproducibility checklist alignment, helping papers survive Phase-1 review by the broad-AI program committee.
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AAAI Related Work

Guides writing the related work section for AAAI papers by clearly positioning novelty against archival and contemporaneous work, while adhering to AAAIโ€™s dual-submission and AI-as-source policies.
Writing
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AAAI Reproducibility

Audit an AAAI paper's reproducibility checklist, experimental traceability, seed/hyperparameter reporting, compute disclosure, dataset licensing, and code readiness to survive AAAI's Phase-1 rigor review.
Quality
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