L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

runtime-configuration

runtime-configuration

Install, inspect, and configure TotalSegmentator runtime dependencies, devices, weights, licenses, offline caches, and usage statistics.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: runtime-configuration description: "Install, inspect, and configure TotalSegmentator runtime dependencies, devices, weights, licenses, offline caches, and usage statistics." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Runtime Configuration

Use this sub-skill when an agent needs to make TotalSegmentator importable, choose a backend device, inspect local runtime state, pre-stage model weights, configure offline/license behavior, or disable usage telemetry. It owns setup and diagnostics, not segmentation command construction.

Start Here

  • Install with pip install TotalSegmentator; verify with TotalSegmentator --version, totalseg_info --json, or the bundled checker.
  • Run python scripts/check_totalseg_runtime.py --task total --device cpu --json for a safe smoke check that imports metadata/registry/config helpers, checks PyTorch visibility, and never downloads weights or runs models.
  • Read references/install-and-backends.md for Python/PyTorch requirements, optional dependencies, and cpu/gpu/gpu:N/mps selection.
  • Read references/configuration.md for TOTALSEG_HOME_DIR, TOTALSEG_WEIGHTS_PATH, config.json, weights, offline staging, licenses, and usage-stat settings.
  • Read references/troubleshooting.md when imports, CUDA/MPS, offline weights, licenses, preview rendering, optional dependencies, or config isolation fail.

Routing Boundaries

Runtime Rules

  • Prefer totalseg_info and totalsegmentator.registry for capability decisions; they are safe, fast, and do not load models.
  • Do not log license numbers, absolute local paths, API keys, or machine-specific environment details in shared outputs.
  • Treat model downloads as explicit side effects; only run totalseg_download_weights when the user expects network and storage use.
  • Use the bundled checker for diagnostics before running expensive segmentation, especially in offline or service environments.
Skills enregistrées