Analyze repository health by detecting god files, churn hotspots, coupling clusters, and bug concentration.
npx skills add https://github.com/Brownbull/gabe-suite --skill gabe-health
Please help me install this Agent Skill. Skill: gabe-health Source: https://github.com/Brownbull/gabe-suite/tree/main/skills/gabe-health Command: npx skills add https://github.com/Brownbull/gabe-suite --skill gabe-health
Surface structural fragility in a codebase by identifying fragile patterns such as god files, churn hotspots, coupling clusters, bug concentration, and scope creep vs plan. This helps teams anticipate risk before incidents and make informed maintenance decisions.
Run /gabe-health for a full baseline report.
High-intent search queries and answers about installing and using this skill.
Codebase health analysis surfaces structural fragility by identifying god files, churn hotspots, and coupling clusters. It leverages git history and plan artifacts to reveal high-risk areas, guiding maintenance and refactoring decisions before incidents occur.
A coupling cluster is a group of files that frequently change together in commits, indicating design entanglements. Identifying these clusters helps reveal areas of scope creep and structural fragility requiring maintenance attention.
Detect scope creep by comparing plan artifacts against actual git diffs to surface unplanned work. This analysis highlights deviations from the original plan, helping teams anticipate risk and manage maintenance scope effectively.
Run repository fragility analysis before epics, during retros, or after incidents to reveal high-risk areas. This timing ensures maintenance and refactoring decisions are informed by structural fragility data and bug-fix concentration patterns.
No, plan artifacts and .kdbp data are optional. The analysis leverages git history to identify bug-fix concentration and structural fragility, but integrating plan artifacts provides deeper scope creep comparisons.
The best way to find bug-fix concentration areas is analyzing git commit history to surface fragile modules. Identifying where fixes cluster signals areas needing immediate maintenance and refactoring attention.
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