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kanyun-inc
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code-confidence-map

Assesses code maintainability and risk via coverage, readability, and error handling.

58|2|Updated Jan 21, 2026
Search Tags:#code quality#code review#maintainability#risk assessment#tech debt#comprehensibility
One-click install
npx skills add https://github.com/kanyun-inc/reskill --skill code-confidence-map
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-confidence-map
Source: https://github.com/kanyun-inc/reskill/tree/main/skills/code-confidence-map
Command: npx skills add https://github.com/kanyun-inc/reskill --skill code-confidence-map

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers understand the risk associated with changing code by assessing its comprehensibility and maintainability, bridging the gap between code complexity and human understanding.

Core Features & Use Cases

  • Comprehensibility Assessment: Evaluates code readability, naming, complexity, and function size.
  • Risk Identification: Detects uncertainty markers (TODO, FIXME), poor error handling, and lack of test coverage.
  • Use Case: When onboarding to a new project, use this Skill to quickly identify which modules are well-documented and tested, and which ones pose a higher risk for modification.

Quick Start

Scan the current directory for code confidence and maintainability risks.

Frequently Asked Questions about code-confidence-map

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

FAQPage Schema
How do I assess code comprehensibility and maintainability risk in a project?▼

Assess code comprehensibility and maintainability risk by evaluating test coverage, readability, and error handling to identify weak spots and tech debt. This process highlights modules that pose a higher risk for modification.

What is the best way to identify tech debt and areas needing refactoring?▼

Identify tech debt and refactoring areas by scanning for uncertainty markers like TODO and FIXME alongside poor error handling. This analysis generates prioritized action items for safer code changes.

Can I scan a whole directory for code confidence or does it only work on single files?▼

You can scan both single files and entire directories to evaluate code confidence. Directory-level analysis helps identify broader maintainability risks and weak spots across a project.

How does evaluating test coverage and uncertainty markers improve code maintainability?▼

Evaluating test coverage and self-expressed uncertainty markers like TODO improves maintainability by revealing undocumented risks. This highlights areas needing refactoring before safer code changes can be made.

When do I need to assess code readability and function size for risk identification?▼

Assess code readability and function size during project onboarding or before modifications to identify high-risk modules. This evaluation reveals comprehensibility gaps and prioritizes action items for safer changes.

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