The Agent Skills Directory

[SAFE]: No malicious patterns, prompt injections, or obfuscated code were detected in the instructions or provided references.
[SAFE]: The skill uses industry-standard Python libraries (Polars, CatBoost, PyTorch) and follows security best practices, such as utilizing yaml.safe_load for parsing configuration files.
[PROMPT_INJECTION]: The skill establishes patterns for ingesting untrusted data through Parquet and JSON files (e.g., in references/data-and-validation.md). While this creates an indirect prompt injection surface if data contents are later processed by an agent, the current patterns are standard for ML workflows and include no active exploitation or dangerous interpolation logic.
[DATA_EXFILTRATION]: No network exfiltration or unauthorized sensitive file access patterns were identified. All file operations (reading data, writing models/metrics) are confined to standard project directories and are consistent with the skill's stated purpose.

ml-project