Skill audit report

CuFOLIO Audit report.

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

REVIEWED · REVIEWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
87
Audit
82
Trust
84
Quality
88
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

82
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

443 GitHub stars

Stars/forks activity

INFO

62

443 stars, 91 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

16d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add NVIDIA-AI-Blueprints/cuFOLIO

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/NVIDIA-AI-Blueprints/cuFOLIO

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 · 2 Needs review

Install path

92

PASS

npx skills add NVIDIA-AI-Blueprints/cuFOLIO

Repository

88

PASS

https://github.com/NVIDIA-AI-Blueprints/cuFOLIO

License

86

PASS

Apache-2.0

Maintenance

100

PASS

16d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

62

CHECK

443 stars, 91 forks; issue activity unavailable in current metadata

Adoption

68

INFO

443 GitHub stars

Warnings

  • Quality score needs review

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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