huggingface-trackio
huggingface-trackio is a Model training & evaluation skill for AI agents, published by huggingface in the skills repository on GitHub. Skillspace rates huggingface-trackio C (71/100) and it passed the safety scan; the rating is based on static analysis only.
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 JSON output for automation.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 10,816
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Documents the public Trackio experiment-tracking library and HF Spaces sync.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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