Skill audit report

technology-selection Audit report.

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 4, 2026Heuristic metadata audit
80
Audit
74
Trust
82
Quality
74
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

74
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

94

5.3K GitHub stars

Stars/forks activity

PASS

88

5.3K stars, 403 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

WARN

56

credential or environment access, network or browser surface

Install availability

PASS

92

npx skills add dotnet/skills --skill technology-selection

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

34

secrets or environment access, filesystem or document access

Repository evidence

PASS

86

https://github.com/dotnet/skills/tree/main/plugins/dotnet-ai/skills/technology-selection

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 10 Needs review

Install path

92

PASS

npx skills add dotnet/skills --skill technology-selection

Repository

88

PASS

https://github.com/dotnet/skills/tree/main/plugins/dotnet-ai/skills/technology-selection

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

The SKILL.md excerpt is truncated in the provided documentation, but the full repository likely contains complete content. No critical issues found.

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

56

FIX

credential or environment access, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

34

FIX

secrets or environment access, filesystem or document access

Stars/forks activity

88

PASS

5.3K stars, 403 forks; issue activity unavailable in current metadata

Adoption

88

PASS

5.3K GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The SKILL.md excerpt is truncated in the provided documentation, but the full repository likely contains complete content. No critical issues found.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, filesystem or document access
  • Dependency/runtime risk: credential or environment access, network or browser surface
  • Permission surface: secrets or environment access, 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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