when-debugging-ml-training-use-ml-training-debugger
This skill helps debug ML training issues, optimizing performance by diagnosing problems like loss divergence and overfitting.
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The when-debugging-ml-training-use-ml-training-debugger skill was audited on Feb 28, 2026 and we found 3 security issues across 1 threat category. Review the findings below before installing.
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Security Issues
medium line 500
Template literal with variable interpolation in command context
SourceSKILL.md
| 500 | ```markdown |
medium line 504
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SourceSKILL.md
| 504 | ${root_causes.map(rc => `- ${rc.issue}: ${rc.likely_cause}`).join('\n')} |
medium line 507
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SourceSKILL.md
| 507 | ${fixes_applied.map(fix => `- ${fix}`).join('\n')} |
Scanned on Feb 28, 2026
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