Skill audit report

cupynumeric-hdf5 Audit report.

Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit
82
Audit
79
Trust
79
Quality
81
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

79
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

3.2K GitHub stars

Stars/forks activity

PASS

83

3.2K stars, 370 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

CC-BY-4.0 OR Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

64

command execution surface, network or browser surface

Install availability

PASS

92

npx skills add NVIDIA/skills --skill cupynumeric-hdf5

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-hdf5

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 6 Needs review

Install path

92

PASS

npx skills add NVIDIA/skills --skill cupynumeric-hdf5

Repository

88

PASS

https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-hdf5

License

86

PASS

CC-BY-4.0 OR Apache-2.0

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

83

PASS

3.2K stars, 370 forks; issue activity unavailable in current metadata

Adoption

88

PASS

3.2K GitHub stars

Warnings

  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Permission surface: shell or command execution, filesystem or document access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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