You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create acti
50
30%
Does it follow best practices?
Impact
80%
1.66xAverage score across 3 eval scenarios
Passed
No findings from the security scan
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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/codebase-cleanup-tech-debt/SKILL.mdDebt inventory with quantified metrics
Cyclomatic complexity threshold
50%
100%
Nesting depth threshold
0%
0%
Long method threshold
100%
100%
God class criteria
14%
42%
Duplication quantification
100%
100%
Coupling/structure issues
100%
100%
Risk level assignment
100%
100%
Cost calculation present
0%
100%
YAML metrics dashboard
22%
77%
Test coverage metrics
0%
100%
Dependency health section
0%
42%
All debt categories covered
50%
100%
Hotspot identification
100%
100%
Prevention strategy and stakeholder communication
Pre-commit complexity gate
100%
100%
Pre-commit duplication gate
0%
0%
Pre-commit coverage gate
0%
100%
CI dependency audit gate
100%
100%
CI performance gate
0%
100%
Code review requirements
57%
100%
Monthly debt budget increase
0%
0%
Quarterly reduction mandate
0%
100%
Tracking tool trio
37%
100%
Executive report components
25%
37%
Code standards document
33%
55%
Monthly KPI targets
0%
0%
Prioritized remediation roadmap with ROI
Three-tier categorization
100%
100%
Effort estimates present
100%
100%
Savings calculations
100%
100%
ROI percentages
11%
44%
Dollar cost figures
100%
100%
Incremental refactoring
100%
100%
Sprint capacity allocation
0%
100%
Team role definition
28%
100%
Risk levels assigned
12%
100%
Quick Wins identified
57%
100%
Output format completeness
100%
100%
ROI Projections section
88%
100%
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Table of Contents
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