review-llm-artifacts

name	review-llm-artifacts
description	Detects common LLM coding agent artifacts by spawning 4 parallel subagents
disable-model-invocation	true

LLM Artifacts Review

Detect common artifacts left behind by LLM coding agents: over-abstraction, dead code, DRY violations in tests, verbose comments, and defensive overkill.

Arguments

• --all: Scan entire codebase (default: changed files from main)
• --parallel: Force parallel execution (default when 4+ files)
• Path: Target directory (default: current working directory)

Step 1: Determine Scope

Parse $ARGUMENTS for flags and path:

# Default: changed files from main
git diff --name-only $(git merge-base HEAD main)..HEAD | grep -E '\.(py|ts|tsx|js|jsx|go|rs|java|rb|swift|kt)$'

# If --all flag: scan entire codebase
find . -type f \( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" -o -name "*.go" -o -name "*.rs" -o -name "*.java" -o -name "*.rb" -o -name "*.swift" -o -name "*.kt" \) ! -path "*/node_modules/*" ! -path "*/.git/*" ! -path "*/vendor/*" ! -path "*/__pycache__/*"

If no files found, exit with: "No files to scan. Check your branch has changes or use --all to scan the entire codebase."

Step 2: Detect Languages

Extract unique file extensions from the file list:

# Get unique extensions
echo "$FILES" | sed 's/.*\.//' | sort -u

Map extensions to language names for the report:

• .py -> Python
• .ts, .tsx -> TypeScript
• .js, .jsx -> JavaScript
• .go -> Go
• .rs -> Rust
• .java -> Java
• .rb -> Ruby
• .swift -> Swift
• .kt -> Kotlin

Step 3: Spawn Parallel Subagents

If file count >= 4 OR --parallel flag is set, spawn 4 subagents via Task tool.

Each subagent MUST:

1. Load the skill: Skill(skill: "beagle-core:llm-artifacts-detection")
2. Review only its assigned category
3. Return findings in the structured format below

Subagent 1: Tests Agent

Focus: Testing anti-patterns from LLM generation

• DRY violations (repeated setup code, duplicate assertions)
• Testing library/framework code instead of application logic
• Wrong mock boundaries (mocking too much or too little)
• Overly verbose test names that describe implementation
• Tests that just mirror the implementation

Subagent 2: Dead Code Agent

Focus: Unused or obsolete code

• Unused imports, variables, functions, classes
• TODO/FIXME comments that should have been resolved
• Backwards compatibility code for removed features
• Orphaned test files for deleted code
• Commented-out code blocks
• Feature flags that are always on/off

Subagent 3: Abstraction Agent

Focus: Over-engineering patterns

• Unnecessary abstraction layers (interfaces for single implementations)
• Copy-paste drift (similar code that diverged slightly)
• Over-configuration (configurable things that never change)
• Premature generalization
• Factory/Builder patterns for simple object creation
• Deep inheritance hierarchies

Subagent 4: Style Agent

Focus: Verbose or defensive patterns

• Verbose comments explaining obvious code
• Defensive overkill (null checks on non-nullable values)
• Unnecessary type hints (dynamic languages with obvious types)
• Overly explicit error messages
• Redundant logging
• Self-documenting code with documentation

Step 4: Consolidate Findings

Wait for all subagents to complete, then:

1. Merge all findings into a single list
2. Assign unique IDs (1, 2, 3...)
3. Group by category for display

Step 5: Write JSON Report

Create .beagle directory if it doesn't exist:

mkdir -p .beagle

Write findings to .beagle/llm-artifacts-review.json:

{
  "version": "1.0.0",
  "created_at": "2024-01-15T10:30:00Z",
  "git_head": "abc1234",
  "scope": "changed" | "all",
  "files_scanned": 42,
  "languages": ["Python", "TypeScript", "Go"],
  "findings": [
    {
      "id": 1,
      "category": "tests" | "dead_code" | "abstraction" | "style",
      "type": "dry_violation" | "unused_import" | "over_abstraction" | "verbose_comment" | ...,
      "file": "src/utils/helper.py",
      "line": 42,
      "description": "Repeated setup code in 5 test functions",
      "suggestion": "Extract to a pytest fixture",
      "risk": "Low" | "Medium" | "High",
      "fix_safety": "Safe" | "Needs review",
      "fix_action": "refactor" | "delete" | "simplify" | "extract"
    }
  ],
  "summary": {
    "total": 15,
    "by_category": {
      "tests": 4,
      "dead_code": 5,
      "abstraction": 3,
      "style": 3
    },
    "by_risk": {
      "High": 2,
      "Medium": 8,
      "Low": 5
    },
    "by_fix_safety": {
      "Safe": 10,
      "Needs review": 5
    }
  }
}

Step 6: Display Summary

## LLM Artifacts Review

**Scope:** Changed files from main | Entire codebase
**Files scanned:** 42
**Languages:** Python, TypeScript, Go

### Findings by Category

#### Tests (4 issues)

1. [src/tests/test_api.py:15] **DRY violation** (Medium, Safe)
   - Repeated setup code in 5 test functions
   - Suggestion: Extract to a pytest fixture

2. [src/tests/test_utils.py:42] **Wrong mock boundary** (High, Needs review)
   - Mocking internal implementation details
   - Suggestion: Mock at the adapter boundary instead

#### Dead Code (5 issues)

3. [src/utils/legacy.py:1] **Unused module** (Low, Safe)
   - Module imported nowhere in codebase
   - Suggestion: Delete file

...

#### Abstraction (3 issues)
...

#### Style (3 issues)
...

### Summary Table

| Category | Safe Fixes | Needs Review | Total |
|----------|------------|--------------|-------|
| Tests | 3 | 1 | 4 |
| Dead Code | 4 | 1 | 5 |
| Abstraction | 2 | 1 | 3 |
| Style | 1 | 2 | 3 |
| **Total** | **10** | **5** | **15** |

### Next Steps

- Run `/beagle-core:review-llm-artifacts --fix` to auto-fix Safe issues (coming soon)
- Review the JSON report at `.beagle/llm-artifacts-review.json`

Step 7: Verification

Before completing, verify the review executed correctly:

1. JSON validity: Confirm .beagle/llm-artifacts-review.json exists and is parseable
2. Subagent success: All 4 subagents completed without errors
3. Git HEAD captured: The git_head field is non-empty in the report
4. Staleness check: If a previous report exists, compare stored git_head to current HEAD and warn if different

# Verify JSON is valid
python3 -c "import json; json.load(open('.beagle/llm-artifacts-review.json'))" 2>/dev/null && echo "✓ Valid JSON" || echo "✗ Invalid JSON"

# Check for staleness (if previous report exists)
STORED_HEAD=$(jq -r '.git_head' .beagle/llm-artifacts-review.json 2>/dev/null)
CURRENT_HEAD=$(git rev-parse --short HEAD)
if [ "$STORED_HEAD" != "$CURRENT_HEAD" ]; then
  echo "⚠️ Report was generated on $STORED_HEAD, current HEAD is $CURRENT_HEAD"
fi

If any verification fails, report the error and do not proceed.

Output Format for Each Finding

[FILE:LINE] **ISSUE_TYPE** (Risk, Fix Safety)
- Description
- Suggestion: Specific fix recommendation

Rules

• Always load the beagle-core:llm-artifacts-detection skill first
• Use Task tool for parallel subagents when >= 4 files
• Every finding MUST have file:line reference
• Categorize risk honestly (don't inflate or deflate)
• Mark fix safety as "Safe" only if change is mechanical and reversible
• Create .beagle directory if needed
• Write JSON report before displaying summary