Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Use when you have a trained NeatMS neural network model and a labelled validation dataset of MS1 peaks (annotated as 'Highquality' or 'Lowquality'), and you need to identify the scalar probability threshold that separates true positive from false positive peak classifications in your specific.
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: a084f9057f3babda65109cb7a52560bfd3cf5057e949665012d46b928247a6ee
About this listing
- Category
- General
- 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.