Paths: File paths (
references/,../ln-*) are relative to this skill directory.
Code Maintainability Hotspot Auditor (L3 Worker)
Type: L3 Worker
Specialized worker auditing local code hotspots that are hard to read, change, or reason about.
Purpose & Scope
- Audit code maintainability hotspots (priority: medium)
- Check complexity metrics, method signature quality, local algorithmic efficiency, constants management, identifier consistency across layers
- Emit
REFACTOR_HOTSPOT,SIMPLIFY_SIGNATURE,EXTRACT_CONSTANT, orUNIFY_IDENTIFIER - Return structured findings with severity, location, effort, recommendations
- Calculate compliance score (X/10) for Code Quality category
Inputs
MANDATORY READ: Load references/audit_worker_core_contract.md and references/mcp_tool_preferences.md.
Tool policy: You may run as an isolated subagent where host AGENTS.md is not in scope, so default to hex-line MCP first for file reads, search, and edits. Load references/mcp_integration_patterns.md only when MCP behavior is unclear.
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
Detection policy: use two-layer detection (candidate scan, then context verification); load references/two_layer_detection.md only when the verification method is ambiguous.
- Parse context -- extract fields, determine
scan_path(domain-aware if specified), extractoutput_dir - Scan codebase for violations (Layer 1)
- All Grep/Glob patterns use
scan_path(not codebase_root) - Graph acceleration (if available): IF
contextStore.graph_indexedOR.hex-skills/codegraph/index.dbexists:- Complexity + God classes:
audit_workspace(path=scan_path, verbosity="minimal", limit=5)-- use returned hotspots to pre-identify complex functions and god classes. Raiselimitonly for deliberate drill-down. - Module metrics:
analyze_architecture(path=scan_path, verbosity="full")-- use returned coupling metrics for cascade depth and coupling analysis. - Fall back to grep patterns below if graph unavailable.
- Outline-first read:
outline(file_path)before reading large source files -- understand function/class structure for complexity analysis.
- Complexity + God classes:
- Example:
Grep(pattern="if.*if.*if", path=scan_path)for nesting detection
- All Grep/Glob patterns use
- Analyze context per candidate (Layer 2 -- MANDATORY)
Layer 1 finding without Layer 2 = NOT a valid finding. Before reporting, ask: "Is this violation intentional or justified by design?"
- Cyclomatic complexity: is complexity from switch/case on enum (valid) or deeply nested conditions (bad)? Enum dispatch -> downgrade to LOW or skip
- O(n^2): read context -- what's n? If bounded (n < 100), downgrade severity
- God class: is it a config/schema/builder class? -> downgrade
- Identifier drift: is the rename mediated by an explicit serializer alias (
@JsonProperty,alias_generator,@SerializedName) or an ORM column mapping (@Column(name=...))? If yes -> downgrade or skip
- Collect findings with severity, location, effort, recommendation
- Tag each finding with
domain: domain_name(if domain-aware)
- Tag each finding with
- Calculate score using penalty algorithm
- Write Report: Build full markdown report in memory per
references/templates/audit_worker_report_template.md, write to{output_dir}/ln-624--{domain}.md(or624-quality.mdin global mode) in single Write call - Return Summary: Return minimal summary (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)
- Downgrade when: Enum/switch dispatch, state machines, parser grammars -> downgrade to LOW or skip
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
- Downgrade when: Nesting from early-return guard clauses (structurally deep but linear logic) -> downgrade
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)
- Downgrade when: Orchestrator functions with sequential delegation; data transformation pipelines -> downgrade
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
- Downgrade when: Config/schema/migration files, generated code, barrel/index files -> skip
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)
- Downgrade when: Builder/options pattern constructor; framework-required signatures (middleware, hooks) -> skip
Recommendation: Use parameter object, builder pattern, default parameters
Effort: S-M (refactor signature + calls)
6. O(n^2) 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(n^2) in hot path (API request handler)
- MEDIUM: O(n^2) in occasional operations
- LOW: O(n^2) on small datasets (n < 100)
- Downgrade when: Bounded n (n < 100 guaranteed by domain); one-time init/migration code -> downgrade to LOW or skip
Recommendation: Use hash maps, optimize with single pass, use better data structures
Effort: M (algorithm redesign)
7. Constants Management
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
- Downgrade when: HTTP status codes (200, 404, 500) -> skip. Math constants (0, 1, -1) in algorithms -> skip. Test data -> skip
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)
8. 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)
9. Identifier Consistency Across Layers
What: Same concept uses different identifiers across API contracts, DTOs, services, repositories, DB columns, or internal modules
Detection:
| Issue | Pattern | Example |
|---|---|---|
| External contract drift | API/OpenAPI/external-schema field name differs from DTO/service/repo/DB column | user_id in OpenAPI but uid in DTO, userId in service, user column in DB |
| Synonym drift (internal) | Same entity referenced by competing names across modules | customer vs client vs account vs user for one concept |
| Unmediated casing/translation | snake/camel/kebab swap without an explicit serializer alias | created_at API field assigned to creationTime with no alias declared |
| Abbreviation drift | Full and abbreviated forms coexist for one concept | organization vs org vs orgId vs organizationId |
Severity:
- HIGH: External-contract field renamed inside code without an explicit serializer alias -- silent breakage risk when the upstream contract changes
- MEDIUM: Synonym drift for one entity across 3+ modules (
customer/client/account) - MEDIUM: Casing translation without an explicit alias mapping
- LOW: Two-variant drift in one bounded module; abbreviation drift in internal-only code
- Downgrade when: ORM-mediated mapping with explicit column alias, framework-required transforms (e.g. GraphQL camelCase via codegen), generated DTOs from contract, language-keyword collision forcing rename -> downgrade or skip
Layer 2 requirement: Synonym drift detection relies on a curated project glossary or on reading usage context. Grep alone is insufficient -- always confirm the two identifiers refer to the same concept before reporting.
Recommendation:
- External-contract case: carry the external API name as-is through DTO / service / repository / DB column. If casing or language conventions conflict, configure a serializer alias once at the boundary (
@JsonProperty,alias_generator,@SerializedName) rather than renaming the field inside the code - Internal-only case: pick the most semantically precise variant, apply find/replace across the modules, record the canonical term in a shared glossary or shared constants/enum module. Add a lint rule or codegen step where possible to prevent reintroduction
- For verb naming within a single module, see Rule #8 (Method Signature Quality)
Effort: S-M (rename + serializer config). L when a DB column rename plus migration is required
Scoring Algorithm
MANDATORY READ: Load references/audit_scoring.md.
Output Format
MANDATORY READ: Load references/templates/audit_worker_report_template.md.
Write JSON summary per references/audit_summary_contract.md. In managed mode the caller passes both runId and summaryArtifactPath; in standalone mode the worker generates its own run-scoped artifact path per shared contract.
Write report to {output_dir}/ln-624--{domain}.md (or 624-quality.md in global mode) with category: "Code Maintainability Hotspots" and checks: cyclomatic_complexity, deep_nesting, long_methods, god_classes, too_many_params, quadratic_algorithms, magic_numbers, method_signatures, identifier_consistency.
When summaryArtifactPath is absent, write the standalone runtime summary under .hex-skills/runtime-artifacts/runs/{run_id}/evaluation-worker/{worker}--{identifier}.json and optionally echo the same summary in structured output.
Report written: .hex-skills/runtime-artifacts/runs/{run_id}/audit-report/ln-624--orders.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)
Critical Rules
Apply the already-loaded references/audit_worker_core_contract.md.
- Do not auto-fix: Report only
- Domain-aware scanning: If
domain_mode="domain-aware", scan ONLYscan_path(not entire codebase) - Tag findings: Include
domainfield in each finding when domain-aware - Metrics tools: Use existing tools when available (ESLint complexity plugin, radon, gocyclo)
- Unique angle: Audit local maintainability hotspots only. Do not audit duplication, package health, architecture boundaries, N+1 persistence behavior, or orchestration ownership. Identifier-consistency findings cover naming continuity of one concept across layers; this is distinct from ln-623 (code duplication) and ln-643 (DTO presence / layer leakage in signatures).
- Action required: Every finding uses
REFACTOR_HOTSPOT,SIMPLIFY_SIGNATURE,EXTRACT_CONSTANT, orUNIFY_IDENTIFIER.
Definition of Done
Apply the already-loaded references/audit_worker_core_contract.md.
- 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(n^2), constants, method signatures, identifier consistency
- Findings collected with severity, location, effort, recommendation, domain
- Score calculated
- Report written to
{output_dir}/ln-624--{domain}.md(atomic single Write call) - Summary written per contract
Reference Files
- Audit output schema:
references/audit_output_schema.md
Version: 3.0.0 Last Updated: 2025-12-23