skill-assessor

Assess new skills for auto-trigger eligibility with prioritized criteria and token-cost analysis.

2|Updated Nov 15, 2025
One-click install
npx skills add https://github.com/grandinh/claude-chaos-express --skill skill-assessor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-assessor
Source: https://github.com/grandinh/claude-chaos-express/tree/main/.claude/skills/skill-assessor
Command: npx skills add https://github.com/grandinh/claude-chaos-express --skill skill-assessor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Determining whether a new AI skill should automatically trigger, and how, requires a systematic evaluation to prevent skill bloat and ensure effectiveness. This Skill automates that assessment, saving you manual configuration and testing.

Core Features & Use Cases

  • Multi-Agent Assessment: Orchestrates context-gathering, code-analyzer, and optional research-expert agents for comprehensive evaluation of new skills.
  • Prioritized Criteria: Assesses skills against guardrails/safety, frequency, and convenience, including a mandatory token cost analysis to optimize performance.
  • Auto-Trigger Recommendation: Provides clear recommendations (AUTO-INVOKE or MANUAL-ONLY) with suggested trigger configurations and detailed rationale.
  • Use Case: After creating a new skill, ask, "Assess the new database-migration skill to see if it should auto-trigger." The Skill will analyze its purpose, codebase relevance, and token cost to provide an informed recommendation.

Quick Start

Assess the new database-migration skill to see if it should auto-trigger.

Frequently Asked Questions about skill-assessor

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

FAQPage Schema
How do I determine if a new skill should auto-trigger or require manual invocation?

Auto-trigger eligibility depends on systematic evaluation of safety guardrails, frequency of use, convenience, and token cost. This Skill assesses those criteria across your skill repository to recommend whether a skill should auto-invoke or remain manual-only, preventing skill bloat and optimizing performance.

What factors does skill assessment consider when evaluating auto-trigger recommendations?

Assessment prioritizes safety guardrails first, then frequency of applicable scenarios, convenience gains, and mandatory token-cost analysis. Multi-phase evaluation orchestrates context gathering and code-pattern analysis to generate structured recommendations with trigger configurations and implementation steps.

Can I use skill assessment to optimize AI performance and reduce token overhead?

Yes. The Skill includes token-cost analysis as a core requirement, evaluating whether auto-invocation provides sufficient value relative to computational expense. This ensures your skill repository stays cost-efficient while maintaining high-frequency triggering only where justified.

What does the skill assessment output provide besides auto-trigger recommendations?

Beyond recommending AUTO-INVOKE or MANUAL-ONLY, the Skill generates trigger configuration options, detailed rationale grounded in code analysis and domain context, and implementation steps to deploy your recommendation across the skill repository.

How does skill assessment handle safety and guardrails when evaluating new skills?

Safety guardrails are the prioritized criterion during evaluation. The Skill analyzes whether new skills align with safety requirements before considering frequency or convenience, ensuring guardrail-critical skills trigger appropriately across all scenarios.

What input does the skill assessment process require to evaluate a new skill?

Provide the skill name and its repository location. The assessor orchestrates deep context gathering, code-pattern analysis, and optional domain research to conduct comprehensive multi-phase evaluation without requiring manual input beyond the initial skill identifier.