SwiftLint Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/SwiftLint/Audit

Skill audit report

SwiftLint audit report.

A tool to enforce Swift style and conventions.

REVIEWED · REVIEWSafe to tryGenerated Jul 25, 2026Heuristic metadata audit

92

Audit

88

Trust

100

Quality

89

Security

88

Maintain

92

Install

OpenAgentSkill Trust Score

88

Production candidate

Stars, maintenance, license, docs, install safety, permission surface, and installability.

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

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Trust

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About OpenAgentSkill API llms.txt OpenAPI CLI Creator Kit X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

PrivacyBuilt for agent-native discovery

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

100

20K GitHub stars

Stars/forks activity

PASS

97

20K stars, 2.3K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add realm/SwiftLint

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/realm/SwiftLint

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

11 passed · 2 review

Install path

92

PASS

npx skills add realm/SwiftLint

Repository

88

PASS

https://github.com/realm/SwiftLint

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

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

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

97

PASS

20K stars, 2.3K forks; issue activity unavailable in current metadata

Adoption

88

PASS

20K GitHub stars

Warnings

Documentation summary is thin
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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 realm/SwiftLint

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: Swift + Static Analysis
Alternatives: 3

Open agent JSON

Signals

Audit score: 92/100
Quality: 100/100
Trust: 88/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 1mo since push
Events: 29 events
GitHub stars: 20K
Last push: Jun 20, 2026

Agent safety v2

80/100 · 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
80/100 agent safety score

Network access

medium

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

Documentation summary is thin

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