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analyzing-dotnet-performance Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/analyzing-dotnet-performance/Audit

Skill audit report

analyzing-dotnet-performance Audit report.

>-

REVIEWED · REVIEWSafe to tryGenerated Oct 7, 2026Heuristic metadata audit

84

Audit

81

Trust

79

Quality

80

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

81

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Gallery New submissions Agent Skills

More links

What Is an Agent Skill?AI Agent Skills Tasks Packs Best Skills New & Trending Workflow Recipes Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings

More links

Outcome Loop Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About Contact Sponsor API

More links

llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

Privacy Contact SponsorBuilt for agent-native discovery

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

94

5.6K GitHub stars

Stars/forks activity

PASS

88

5.6K stars, 427 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

70

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add dotnet/skills --skill analyzing-dotnet-performance

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/dotnet/skills/tree/main/plugins/dotnet-diag/skills/analyzing-dotnet-performance

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 5 Needs review

Install path

92

PASS

npx skills add dotnet/skills --skill analyzing-dotnet-performance

Repository

88

PASS

https://github.com/dotnet/skills/tree/main/plugins/dotnet-diag/skills/analyzing-dotnet-performance

License

86

PASS

MIT

Maintenance

100

PASS

Pushed today

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

88

PASS

5.6K stars, 427 forks; issue activity unavailable in current metadata

Adoption

88

PASS

5.6K GitHub stars

Warnings

AI review approval is missing
Quality score needs review
Review status: AI review approval is missing

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.

Install path

Review the report before installing into production agents.

$ npx skills add dotnet/skills --skill analyzing-dotnet-performance

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 84/100
Quality: 79/100
Trust: 81/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: Pushed today
Events: No events yet
GitHub stars: 5.6K
Last push: Oct 7, 2026

Agent safety v2

68/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Safe-to-try audit
68/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

AI review approval is missing

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