AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity label...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Multiple
Fastest way to find out if brooks-lint belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/hyhmrright/brooks-lint ~/.claude/skills/brooks-lintRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/brooks-lintNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ brooks-lint/ ← installs here ├─ agents/ └─ settings.json
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
Source: GitHub repository
Source check: October 22, 2026
Upstream commit: October 22, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.