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JoNaYeon
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work_ai_skill-evaluation

Evaluate candidate AI skills for safety and value before installation.

1|Updated Apr 16, 2026
Search Tags:#documentation#review#trust#risk-assessment#skill#evaluate#pre-install
One-click install
npx skills add https://github.com/JoNaYeon/claude-code-skills --skill work-ai-skill-evaluation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: work_ai_skill-evaluation
Source: https://github.com/JoNaYeon/claude-code-skills/tree/main/work/ai/work_ai_skill-evaluation
Command: npx skills add https://github.com/JoNaYeon/claude-code-skills --skill work-ai-skill-evaluation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables teams to pre-screen and validate AI skills before adding them to their tooling, reducing risk from untrusted or low-value integrations.

Core Features & Use Cases

  • Structured pre-install evaluation covering safety, maintainability, alignment with workflows, and expected impact.
  • Documentation of evidence and criteria to support adoption decisions.
  • Use Case: Before installing a new AI skill, run this evaluation to decide whether to adopt, and under what conditions.

Quick Start

Provide a pre-install evaluation of a candidate skill using the defined criteria.

Frequently Asked Questions about work_ai_skill-evaluation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is pre-install skill evaluation and why is it needed?▼

Pre-install skill evaluation identifies whether a candidate skill is safe and valuable before installation. It is needed to reduce risks from untrusted or low-value integrations by documenting trust signals and expected impact.

How do I evaluate an AI skill before installing it?▼

You evaluate an AI skill by applying structured criteria covering safety, maintainability, and expected impact. This skill documents evidence such as source reliability and maintenance history to justify your adoption decision before installation.

What criteria should I use to assess AI skill safety and maintainability?▼

Assess AI skill safety and maintainability using criteria like source reliability, maintenance history, and documentation quality. Documenting these trust signals and risk factors justifies whether you should adopt the candidate skill.

Can I document trust signals and risks for a skill directory adoption decision?▼

Yes, you can document trust signals, risks, and expected impact across a skill directory. Apply this evaluation to candidate skills to decide adoption and generate documented evidence justifying your final integration choices.

When should I avoid installing a new AI skill?▼

Avoid installing a new AI skill when pre-install evaluation reveals poor source reliability, inadequate maintenance history, or low documentation quality. Documenting these risks justifies rejecting untrusted or low-value integrations.

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