git-intel
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TDQS
Scored across 12 tools
Each tool targets a distinct analytical dimension such as change frequency, code churn, file coupling, contributor ownership, complexity trends, risk assessment, release notes, contributor stats, file history, code age, commit patterns, and branch risk. While some tools touch on contributor or file history, their outputs and use cases are clearly distinct.
All tool names follow a consistent lower-case snake_case noun pattern, using either single words (e.g., hotspots, churn) or compound nouns (e.g., knowledge_map, risk_assessment). No mixed conventions or vague action verbs are present, making the set predictable.
12 tools fall comfortably within the ideal 3-15 range for a focused domain. Each tool addresses a specific repository analytics need without unnecessary overlap, making the set well-scoped.
The tool set covers a comprehensive range of repository intelligence, including hotspots, churn, coupling, ownership, complexity, risk, release notes, contributor analytics, file history, code age, commit patterns, and branch health. Minor gaps such as a general repository summary exist, but core analytical workflows are well covered.