mlflow-python
Logs and analyzes experiment metrics and parameters using the MLflow Python API for effective strategy performance tracking.
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The mlflow-python skill was audited on Mar 3, 2026 and we found 8 security issues across 3 threat categories. Review the findings below before installing.
Categories Tested
Security Issues
medium line 55
Template literal with variable interpolation in command context
SourceSKILL.md
| 55 | ```bash |
medium line 66
Template literal with variable interpolation in command context
SourceSKILL.md
| 66 | ```bash |
low line 41
Access to .env file
SourceSKILL.md
| 41 | # Option 1: mise + .env.local (recommended) |
low line 42
Access to .env file
SourceSKILL.md
| 42 | # Create .env.local in skill directory with: |
medium line 136
Access to .env file
SourceSKILL.md
| 136 | Create `.env.local` (gitignored) for credentials: |
low line 43
External URL reference
SourceSKILL.md
| 43 | MLFLOW_TRACKING_URI=http://mlflow.eonlabs.com:5000 |
low line 48
External URL reference
SourceSKILL.md
| 48 | export MLFLOW_TRACKING_URI="http://mlflow.eonlabs.com:5000" |
low line 139
External URL reference
SourceSKILL.md
| 139 | MLFLOW_TRACKING_URI=http://mlflow.eonlabs.com:5000 |
Scanned on Mar 3, 2026
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Categorydata analytics
UpdatedMay 21, 2026
majiayu000/claude-skill-registry-data