Detect It Easy Audit Report | OpenAgentSkill | OpenAgentSkill

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Skill audit report

Detect It Easy audit report.

Program for determining types of files for Windows, Linux and MacOS.

VERIFIED · ALLOWSafe to tryGenerated Jul 25, 2026Heuristic metadata audit

94

Audit

91

Trust

100

Quality

88

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

91

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

11K GitHub stars

Stars/forks activity

PASS

92

11K stars, 930 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

6d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

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 horsicq/Detect-It-Easy

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/horsicq/Detect-It-Easy

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 · 0 review

Install path

92

PASS

npx skills add horsicq/Detect-It-Easy

Repository

88

PASS

https://github.com/horsicq/Detect-It-Easy

License

86

PASS

MIT

Maintenance

100

PASS

6d 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

86

PASS

filesystem or document access

Stars/forks activity

92

PASS

11K stars, 930 forks; issue activity unavailable in current metadata

Adoption

88

PASS

11K GitHub stars

Warnings

No major warnings detected from available metadata.

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 horsicq/Detect-It-Easy

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: allow
Best agents: JavaScript + Static Analysis
Alternatives: 3

Open agent JSON

Signals

Audit score: 94/100
Quality: 100/100
Trust: 91/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 6d since push
Events: 20 events
GitHub stars: 11K
Last push: Jul 18, 2026

Agent safety v2

86/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Verified listing
Safe-to-try audit
86/100 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.

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