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ln-624-code-quality-auditor skill

/ln-624-code-quality-auditor

This skill audits code quality by detecting complexity, nesting, long methods, and bad signatures, returning actionable findings and improvement

npx playbooks add skill levnikolaevich/claude-code-skills --skill ln-624-code-quality-auditor

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---
name: ln-624-code-quality-auditor
description: "Code quality audit worker (L3). Checks cyclomatic complexity, deep nesting, long methods, god classes, method signature quality, O(n²) algorithms, N+1 queries, magic numbers/constants. Returns findings with severity, location, effort, recommendations."
allowed-tools: Read, Grep, Glob, Bash
---

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.

# Code Quality Auditor (L3 Worker)

Specialized worker auditing code complexity, method signatures, algorithms, and constants management.

## Purpose & Scope

- **Worker in ln-620 coordinator pipeline** - invoked by ln-620-codebase-auditor
- Audit **code quality** (Categories 5+6+NEW: Medium Priority)
- Check complexity metrics, method signature quality, algorithmic efficiency, constants management
- Return structured findings with severity, location, effort, recommendations
- Calculate compliance score (X/10) for Code Quality category

## Inputs (from Coordinator)

**MANDATORY READ:** Load `shared/references/task_delegation_pattern.md#audit-coordinator--worker-contract` for contextStore structure.

Receives `contextStore` with: `tech_stack`, `best_practices`, `principles`, `codebase_root`, `output_dir`.

**Domain-aware:** Supports `domain_mode` + `current_domain` (see `audit_output_schema.md#domain-aware-worker-output`).

## Workflow

1) **Parse context** — extract fields, determine `scan_path` (domain-aware if specified), extract `output_dir`
2) **Scan codebase for violations**
   - All Grep/Glob patterns use `scan_path` (not codebase_root)
   - Example: `Grep(pattern="if.*if.*if", path=scan_path)` for nesting detection

3) **Collect findings with severity, location, effort, recommendation**
   - Tag each finding with `domain: domain_name` (if domain-aware)

4) **Calculate score using penalty algorithm**

5) **Write Report:** Build full markdown report in memory per `shared/templates/audit_worker_report_template.md`, write to `{output_dir}/624-quality-{domain}.md` (or `624-quality.md` in global mode) in single Write call

6) **Return Summary:** Return minimal summary to coordinator (see Output Format)

## Audit Rules (Priority: MEDIUM)

### 1. Cyclomatic Complexity
**What:** Too many decision points in single function (> 10)

**Detection:**
- Count if/else, switch/case, ternary, &&, ||, for, while
- Use tools: `eslint-plugin-complexity`, `radon` (Python), `gocyclo` (Go)

**Severity:**
- **HIGH:** Complexity > 20 (extremely hard to test)
- **MEDIUM:** Complexity 11-20 (refactor recommended)
- **LOW:** Complexity 8-10 (acceptable but monitor)

**Recommendation:** Split function, extract helper methods, use early returns

**Effort:** M-L (depends on complexity)

### 2. Deep Nesting (> 4 levels)
**What:** Nested if/for/while blocks too deep

**Detection:**
- Count indentation levels
- Pattern: if { if { if { if { if { ... } } } } }

**Severity:**
- **HIGH:** > 6 levels (unreadable)
- **MEDIUM:** 5-6 levels
- **LOW:** 4 levels

**Recommendation:** Extract functions, use guard clauses, invert conditions

**Effort:** M (refactor structure)

### 3. Long Methods (> 50 lines)
**What:** Functions too long, doing too much

**Detection:**
- Count lines between function start and end
- Exclude comments, blank lines

**Severity:**
- **HIGH:** > 100 lines
- **MEDIUM:** 51-100 lines
- **LOW:** 40-50 lines (borderline)

**Recommendation:** Split into smaller functions, apply Single Responsibility

**Effort:** M (extract logic)

### 4. God Classes/Modules (> 500 lines)
**What:** Files with too many responsibilities

**Detection:**
- Count lines in file (exclude comments)
- Check number of public methods/functions

**Severity:**
- **HIGH:** > 1000 lines
- **MEDIUM:** 501-1000 lines
- **LOW:** 400-500 lines

**Recommendation:** Split into multiple files, apply separation of concerns

**Effort:** L (major refactor)

### 5. Too Many Parameters (> 5)
**What:** Functions with excessive parameters

**Detection:**
- Count function parameters
- Check constructors, methods

**Severity:**
- **MEDIUM:** 6-8 parameters
- **LOW:** 5 parameters (borderline)

**Recommendation:** Use parameter object, builder pattern, default parameters

**Effort:** S-M (refactor signature + calls)

### 6. O(n²) or Worse Algorithms
**What:** Inefficient nested loops over collections

**Detection:**
- Nested for loops: `for (i) { for (j) { ... } }`
- Nested array methods: `arr.map(x => arr.filter(...))`

**Severity:**
- **HIGH:** O(n²) in hot path (API request handler)
- **MEDIUM:** O(n²) in occasional operations
- **LOW:** O(n²) on small datasets (n < 100)

**Recommendation:** Use hash maps, optimize with single pass, use better data structures

**Effort:** M (algorithm redesign)

### 7. N+1 Query Patterns
**What:** ORM lazy loading causing N+1 queries

**Detection:**
- Find loops with database queries inside
- Check ORM patterns: `users.forEach(u => u.getPosts())`

**Severity:**
- **CRITICAL:** N+1 in API endpoint (performance disaster)
- **HIGH:** N+1 in frequent operations
- **MEDIUM:** N+1 in admin panel

**Recommendation:** Use eager loading, batch queries, JOIN

**Effort:** M (change ORM query)

### 8. Constants Management (NEW)
**What:** Magic numbers/strings, decentralized constants, duplicates

**Detection:**

| Issue | Pattern | Example |
|-------|---------|---------|
| Magic numbers | Hardcoded numbers in conditions/calculations | `if (status === 2)` |
| Magic strings | Hardcoded strings in comparisons | `if (role === 'admin')` |
| Decentralized | Constants scattered across files | `MAX_SIZE = 100` in 5 files |
| Duplicates | Same value multiple times | `STATUS_ACTIVE = 1` in 3 places |
| No central file | Missing `constants.ts` or `config.py` | No single source of truth |

**Severity:**
- **HIGH:** Magic numbers in business logic (payment amounts, statuses)
- **MEDIUM:** Duplicate constants (same value defined 3+ times)
- **MEDIUM:** No central constants file
- **LOW:** Magic strings in logging/debugging

**Recommendation:**
- Create central constants file (`constants.ts`, `config.py`, `constants.go`)
- Extract magic numbers to named constants: `const STATUS_ACTIVE = 1`
- Consolidate duplicates, import from central file
- Use enums for related constants

**Effort:** M (extract constants, update imports, consolidate)

### 9. Method Signature Quality
**What:** Poor method contracts reducing readability and maintainability

**Detection:**

| Issue | Pattern | Example |
|-------|---------|---------|
| Boolean flag params | >=2 boolean params in signature | `def process(data, is_async: bool, skip_validation: bool)` |
| Too many optional params | >=3 optional params with defaults | `def query(db, limit=10, offset=0, sort="id", order="asc")` |
| Inconsistent verb naming | Different verbs for same operation type in one module | `get_user()` vs `fetch_account()` vs `load_profile()` |
| Unclear return type | `-> dict`, `-> Any`, `-> tuple` without TypedDict/NamedTuple | `def get_stats() -> dict` instead of `-> StatsResponse` |

**Severity:**
- **MEDIUM:** Boolean flag params (use enum/strategy), unclear return types
- **LOW:** Too many optional params, inconsistent naming

**Recommendation:**
- Boolean flags: replace with enum, strategy pattern, or separate methods
- Optional params: group into config/options dataclass
- Naming: standardize verb conventions per module (`get_` for sync, `fetch_` for async, etc.)
- Return types: use TypedDict, NamedTuple, or dataclass instead of raw dict/tuple

**Effort:** S-M (refactor signatures + callers)

## Scoring Algorithm

**MANDATORY READ:** Load `shared/references/audit_scoring.md` for unified scoring formula.

## Output Format

**MANDATORY READ:** Load `shared/templates/audit_worker_report_template.md` for file format.

Write report to `{output_dir}/624-quality-{domain}.md` (or `624-quality.md` in global mode) with `category: "Code Quality"` and checks: cyclomatic_complexity, deep_nesting, long_methods, god_classes, too_many_params, quadratic_algorithms, n_plus_one, magic_numbers, method_signatures.

Return summary to coordinator:
```
Report written: docs/project/.audit/624-quality-orders.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)
```

## Critical Rules

- **Do not auto-fix:** Report only
- **Domain-aware scanning:** If `domain_mode="domain-aware"`, scan ONLY `scan_path` (not entire codebase)
- **Tag findings:** Include `domain` field in each finding when domain-aware
- **Context-aware:** Small functions (n < 100) with O(n²) may be acceptable
- **Constants detection:** Exclude test files, configs, examples
- **Metrics tools:** Use existing tools when available (ESLint complexity plugin, radon, gocyclo)

## Definition of Done

- contextStore parsed (including domain_mode, current_domain, output_dir)
- scan_path determined (domain path or codebase root)
- All 9 checks completed (scoped to scan_path):
  - complexity, nesting, length, god classes, parameters, O(n²), N+1, constants, method signatures
- Findings collected with severity, location, effort, recommendation, domain
- Score calculated
- Report written to `{output_dir}/624-quality-{domain}.md` (atomic single Write call)
- Summary returned to coordinator

## Reference Files

- **Worker report template:** `shared/templates/audit_worker_report_template.md`
- **Audit scoring formula:** `shared/references/audit_scoring.md`
- **Audit output schema:** `shared/references/audit_output_schema.md`
- Code quality rules: [references/code_quality_rules.md](references/code_quality_rules.md)

---
**Version:** 3.0.0
**Last Updated:** 2025-12-23

Overview

This skill performs a Level-3 code quality audit focused on complexity, method signatures, algorithmic efficiency, and constants management. It scans a specified path in the codebase and returns structured findings with severity, location, estimated effort, and concrete recommendations. It also computes a Code Quality compliance score and writes a single atomic markdown report to the configured output directory.

How this skill works

The worker parses the provided contextStore to determine scan_path, domain_mode, current_domain, and output_dir. It runs nine checks (cyclomatic complexity, deep nesting, long methods, god classes, too many parameters, quadratic algorithms, N+1 queries, magic numbers/constants, and method signature quality) scoped to scan_path. Findings are collected, tagged with domain when domain-aware, used to compute a penalty-based score, and emitted as a single markdown report file; a short summary is returned to the coordinator.

When to use it

  • Integrating into an automated audit pipeline before release to catch maintainability and performance risks
  • Running focused, domain-aware reviews when a microservice or feature folder is being evaluated
  • Validating refactors to ensure complexity and signature quality improved
  • Spot-checking for N+1 queries or O(n²) hotspots in API handlers and batch jobs
  • Enforcing constants consolidation and reducing magic numbers before public API changes

Best practices

  • Run in domain-aware mode to limit noise and focus on the relevant code slice
  • Combine tool outputs (ESLint/radon/gocyclo) with simple pattern scans for better coverage
  • Exclude tests, examples, and config files from magic-number detection
  • Treat findings as guidance—do not auto-fix; include estimated effort for planning
  • Prioritize CRITICAL/HIGH issues in hot paths (API endpoints, schedulers) for remediation

Example use cases

  • Pre-merge audit of a service directory to catch N+1 queries and O(n²) loops introduced in a feature branch
  • Monthly code-quality gate that produces a score and a single markdown report in the project audit folder
  • Targeted review of a legacy module to identify god classes and long methods for refactor planning
  • Verifying parameter and signature improvements after an API redesign
  • Scanning a domain folder to consolidate duplicated constants into a single constants file

FAQ

Does the worker modify source code to fix issues?

No. The worker only reports findings, severity, effort, and recommendations. It never auto-fixes.

Can I restrict scans to a single service or folder?

Yes. Enable domain_mode and set current_domain; the worker scans only the computed scan_path.