quality

DLC: Code Quality Check

Run code quality analysis against the current project and create a GitHub issue with findings.

Before running, read ../dlc/references/ISSUE-TEMPLATE.md now for the issue format, and read ../dlc/references/REPORT-FORMAT.md now for the findings data structure.

Step 1: Detect Linting Config

Scan for linting configuration and project type:

Config File	Linter	Language
.eslintrc* / eslint.config.* / biome.json	ESLint / Biome	JS/TS
ruff.toml / pyproject.toml (with [tool.ruff])	Ruff	Python
.golangci.yml / .golangci.yaml	golangci-lint	Go
clippy.toml / Cargo.toml	Clippy	Rust
.rubocop.yml	RuboCop	Ruby

Also check for formatter configs: .prettierrc*, .editorconfig, rustfmt.toml.

Step 2: Run Quality Tools

Linting

Run the detected linter with JSON/machine-readable output:

Select the tool based on availability (command -v), not exit codes — linters exit non-zero when issues are found, which is a valid result to capture.

# JS/TS — select by availability
if command -v eslint >/dev/null 2>&1; then
  eslint . --format=json 2>/dev/null
elif command -v biome >/dev/null 2>&1; then
  biome check . --reporter=json 2>/dev/null
fi

# Python — prefer Ruff, fall back to flake8
if command -v ruff >/dev/null 2>&1; then
  ruff check . --output-format=json 2>/dev/null
elif command -v flake8 >/dev/null 2>&1; then
  flake8 . --format=json 2>/dev/null
fi

# Go
command -v golangci-lint >/dev/null 2>&1 && golangci-lint run --out-format=json 2>/dev/null

# Rust
command -v cargo-clippy >/dev/null 2>&1 && cargo clippy --message-format=json 2>/dev/null

Complexity Analysis

# JS/TS — eslint complexity rule or cr tool
eslint . --rule '{"complexity": ["warn", 10]}' --format=json 2>/dev/null

# Python
radon cc . --json --min=C 2>/dev/null

# General — if no tool available, use Claude analysis
# Look for functions > 50 lines, cyclomatic complexity > 10, deep nesting > 4 levels