CCS Experiments

CCS Experiments 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 Experiments

Copy CCS Experiments 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-experiments ~/.claude/skills/ccs-experiments

Requires Node.js. Downloads this skill only — not the rest of the repository — 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 skill’s own directory into your skills folder yourself.

In this catalog

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

What CCS Experiments does

CCS Experiments helps audit ACM CCS attack and defense evaluations for claim-to-evidence fit, adaptive attackers, baselines, and measured overhead. Use it when preparing or reviewing experiments for a security paper submission.

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

Documentation

README

Excerpt

CCS Experiments

Use this before submission when the attack demonstration, defense evaluation, or measurement story is not yet locked.

Experiment audit

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

Frequently asked about CCS Experiments

What else does brycewang-stanford publish alongside CCS Experiments?
CCS Experiments 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 Experiments 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 Experiments compare to other Quality skills?
CCS Experiments ranks #857 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 Experiments against them. Open each page to compare what they document and how they install.