Skill audit report

Generative AI Use Cases audit report.

Application implementation with business use cases for safely utilizing generative AI in business operations

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

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

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

1.4K GitHub stars

Stars/forks activity

PASS

1.4K stars, 432 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

3d since push

License clarity

PASS

MIT-0

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add aws-samples/generative-ai-use-cases

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

shell or command execution

Repository evidence

PASS

https://github.com/aws-samples/generative-ai-use-cases

Review status

PASS

AI review data available

Checks

Install and adoption review

10 passed · 1 review

Install path

PASS

npx skills add aws-samples/generative-ai-use-cases

Repository

PASS

https://github.com/aws-samples/generative-ai-use-cases

License

PASS

MIT-0

Maintenance

100

PASS

3d since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

shell or command execution

Stars/forks activity

PASS

1.4K stars, 432 forks; issue activity unavailable in current metadata

Adoption

PASS

1.4K 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 aws-samples/generative-ai-use-cases

Signals

Audit score: 95/100
Quality: 100/100
Trust: 94/100
Install safety: 92/100
Permission surface: 76/100
Maintenance: 3d since push
Events: 5 events
GitHub stars: 1.4K
Last push: Jun 14, 2026

Agent safety v2

71/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

High-risk permission hints: Shell or command execution
71/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

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

High-risk permission hints: Shell or command execution

Back to skill Alternatives Audit badge SVG

Compare nearby options

Related skills to audit next

Awesome Llm Apps

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

114K stars · Audit report

Hello Agents

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

59K stars · Audit report

Llm App

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

59K stars · Audit report