Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Use when you have trained two or more graph neural network models on the same CCS dataset split (using identical hyperparameters, loss functions, and optimization settings) and need to rigorously compare their held-out test performance to determine which architecture balances prediction accuracy.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Automated security scan: Partial
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 84dfabf9f9c4189da14bbfb871e7f0b9d19e8a613b1aa1183f84e16e105a8fa9
About this listing
- Category
- Engineering
- Reported license
- Apache-2.0
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.