wandb-analysis
wandb-analysis is a Model training & evaluation skill for AI agents, published by JackHopkins in the factorio-learning-environment repository on GitHub. Skillspace rates wandb-analysis F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Analyze Weights & Biases runs programmatically. Use when asked to "analyze loss curves", "compare W&B runs", "find best checkpoint", "plot training metrics", "query wandb", or "download wandb artifacts". Covers Python API for querying runs, analyzing loss patterns, comparing hyperparameters, and working with artifacts.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,034
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.
Our review
- Architecture
- 83 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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