accelerated-computing-cudf
What this skill does
The skill provides official guidance on using NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. I
github/nvidia - Code Execution - 2.8k stars
Threat analysis
Skill info
pkg:github/NVIDIA/skills@a9ea6f9?skill=accelerated-computing-cudfAssessments (1)
Code Execution
Code Execution via local-llm-review
evals/files/cudf-native-stream-handoff-boundary/code/run_smoke.sh
The script compiles and runs a CUDA program (`threaded_handoff.cu`) using `nvcc` and executes it. While this is legitimate for testing, it could be a risk if the source code (`threaded_handoff.cu`) isBadge
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How Anomity governs this at runtime
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Methodology and disputes
Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of accelerated-computing-cudf? Report an issue or request a rescan.
