📦 deps(thirdparty): update snapshots
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---
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source: "https://github.com/huggingface/skills/tree/main/skills/huggingface-trackio"
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name: hugging-face-trackio
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description: Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.
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description: Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and...
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risk: unknown
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source: https://github.com/huggingface/skills/tree/main/skills/huggingface-trackio
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source_repo: huggingface/skills
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source_type: official
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date_added: 2026-07-01
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license: Apache-2.0
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license_source: https://github.com/huggingface/skills/blob/main/LICENSE
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---
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# Trackio - Experiment Tracking for ML Training
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@@ -117,6 +122,7 @@ trackio list alerts --project my-project --json --since "2025-01-01T00:00:00"
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```
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## Limitations
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- Use this skill only when the task clearly matches the scope described above.
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- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
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- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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- Use this skill only when the task clearly matches its upstream product or API scope.
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- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
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- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
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