techdebt

Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.

1.35x

Quality

63%

Does it follow best practices?

Impact

87%

1.35x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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Evaluation results

84%

30%

Security Audit: Python Backend API

Security vulnerability classification and report format

Criteria

Without context

With context

Report header: Debt Score

100%

Report header: Scope

100%

Summary table present

100%

Critical Issues section

25%

100%

Hardcoded secret as P0

100%

SQL injection as P0

100%

Insecure crypto as P0

Python-specific: yaml.load

100%

eval/exec as P1

File:line format

100%

Impact field per finding

100%

Fix field per finding

100%

Recommendations section

100%

95%

53%

Code Quality Report: Order Processing Module

Complexity/duplication thresholds and summary report structure

Criteria

Without context

With context

Summary table: 4 categories

50%

100%

Debt Score present

100%

Complexity P1 threshold

100%

Function length P1 threshold

100%

Duplication P1 classification

100%

Duplication P2 classification

87%

Dead code: unused imports

50%

100%

File:line location format

25%

100%

Findings grouped by file

25%

50%

Refactoring suggestion for complexity

75%

100%

High Priority (P1) section

100%

Recommendations section

100%

82%

-16%

Pre-Commit Code Cleanup: Data Pipeline Service

Dead code safe removal criteria and auto-fix safety rules

Criteria

Without context

With context

Dead imports as safe-fix

100%

Security NOT auto-fixable

100%

50%

Complexity NOT auto-fixable

100%

Safe removal: no external refs

100%

Safe removal: not public API

80%

70%

Orphaned function detected

100%

Unreachable code detected

100%

Findings grouped by file

100%

File:line location format

100%

Impact field present

100%

Fix field present

100%

Recommendations section

100%

Repository: NeverSight/skills_feed
Commit: f772de4

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Security Audit: Python Backend API Code Quality Report: Order Processing Module Pre-Commit Code Cleanup: Data Pipeline Service

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