About this skill
ML-pipeline discipline — every training run logged, lockfile-frozen environments, every seed pinned, the eval suite as a separate package the model never imports, a data hash per dataset, and leakage guards. Use when .claude/HARNESS.toml selects data/ml-pipeline, or when training models, writing train.py, running evaluation suites, packaging or registering model artifacts.
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
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
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: 18a47ebec96a4e820d0f68324cce8bf58aee9929299bde681ec859603546643c
About this listing
- Category
- General
- Reported license
- Not specified
- 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.