From next-task
Validates code quality using certainty-graded rules to detect AI artifacts, anti-patterns, and b00t violations. Categorizes findings as auto-fixable, needs-review, or human-gate for pre-merge or implementation checks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/next-task:code-qualityThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Uses certainty-grade framework. Runs deterministic checks first (code), AI analysis second (reasoning).
Uses certainty-grade framework. Runs deterministic checks first (code), AI analysis second (reasoning).
AI Artifact Detection:
console.log( / print( / println!( in non-test codeTODO, FIXME, HACK, XXX comments without issue referencedebugger; statements"TODO", "FIXME", "placeholder", "example.com"b00t Violations:
pip install (MUST use uv pip install)docker run without podman (MUST use podman)b00t learnLanguage-Specific:
unwrap() in Rust production code (outside tests)except: pass in Pythonany type in TypeScript without justification commentDocumentation Ratios:
Code Smell Patterns:
b00t Alignment:
# 🤓 tribal knowledge on non-idiomatic patternsCode Quality Report: <file/scope>
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[HIGH] 3 findings — auto-fixable
✗ console.log() at src/app.ts:12
✗ TODO without issue at lib/utils.rs:88
✗ unwrap() in production at src/main.rs:45
[MEDIUM] 2 findings — needs review
⚠ process_data() at src/etl.py:100 — 67 lines, consider split
⚠ public fn without docs at src/api.rs:23
[LOW] 1 finding — human gate
? naming: `handle_thing()` may be ambiguous in payment context
Auto-fix available: 3 | Review required: 2 | Human approval: 1
Invoke via: /next-task (pre-merge gate), inline during implementation.
All fixes apply certainty-grade before executing.
npx claudepluginhub elasticdotventures/_b00t_ --plugin next-taskAudits AI-generated or rapidly prototyped code for structural flaws, fragility, and production risks. Identifies hidden technical debt and architectural weaknesses.
Reviews code quality, pattern adherence, and architecture with red-team validation. Use when user says "check your code", "code quality review", "is this well-written", or "review code quality". Different from check-your-work which finds bugs.
Detects and auto-fixes AI slop in code (debug leftovers, placeholders, hardcoded credentials) using a three-phase certainty scan, safely applying only deterministic HIGH fixes and verifying with tests.