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Tech Debt Scanner

核心功能含全量审计、热点分析、待办审计、依赖检查、测试缺口检测5种命令,能识别注释标记、复杂度热点等多类债务;典型场景为代码质量审计、确定重构优先级、sprint规划前筛选清理候选;支持指定代码库路径,输出文本、JSON、Markdown三种格式,可集成CI并按风险阈值返回退出码。

charlie-morrison
charlie-morrison
热度 45.96
最近更新 2026-05-11 17:46:13
分类:开发依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:代码审查 / 报告撰写 / 自动化脚本 / DevOps

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add tech-debt-scanner
Metadata
name
tech-debt-scanner
description
Scan codebases for technical debt — TODO/FIXME comments, deprecated APIs, complexity hotspots, outdated patterns, missing tests, large files — then prioritize with AI reasoning and generate remediation plans.

Tech Debt Scanner

Find, categorize, and prioritize technical debt in any codebase. Produces an actionable report with effort estimates, risk scores, and remediation suggestions — not just a list of problems.

Use when: "scan for tech debt", "find code smells", "audit code quality", "what should we refactor first", "technical debt report", or before sprint planning to identify cleanup candidates.

Commands

1. scan — Full Tech Debt Audit

Run all detectors and produce a prioritized report.

Step 1: Detect TODO/FIXME/HACK Comments

# Find all debt markers with context
rg -n "TODO|FIXME|HACK|XXX|TEMP|WORKAROUND|DEPRECATED|NOCOMMIT" \
  --type-not binary \
  -g '!node_modules' -g '!vendor' -g '!dist' -g '!build' -g '!.git' \
  --stats 2>&1

Categorize each hit:

  • TODO: Feature incomplete — low risk, track in backlog
  • FIXME: Known bug — medium risk, prioritize
  • HACK/WORKAROUND: Fragile code — high risk, refactor soon
  • DEPRECATED: API sunset — high risk if external dependency
  • NOCOMMIT: Should never have been merged — critical

Count totals per category. Flag any older than 6 months (check git blame):

# Age of oldest TODO/FIXME (sample first 10)
rg -l "TODO|FIXME|HACK" -g '!node_modules' -g '!vendor' | head -10 | while read f; do
  echo "=== $f ==="
  git log -1 --format="%ai %an" -- "$f" 2>/dev/null
done

Step 2: Detect Complexity Hotspots

# Largest source files (often the most complex)
find . -type f \( -name "*.ts" -o -name "*.js" -o -name "*.py" -o -name "*.go" -o -name "*.rs" -o -name "*.java" \) \
  -not -path '*/node_modules/*' -not -path '*/vendor/*' -not -path '*/dist/*' -not -path '*/.git/*' \
  -exec wc -l {} + 2>/dev/null | sort -rn | head -20

# Functions with high nesting (proxy for cyclomatic complexity)
rg -n "^\s{12,}(if|for|while|switch|case|catch)" \
  --type-not binary \
  -g '!node_modules' -g '!vendor' -g '!dist' \
  --stats 2>&1 | tail -5

Flag files >500 lines as candidates for splitting. Flag functions with >4 levels of nesting as complexity hotspots.

Step 3: Detect Outdated Patterns

# JavaScript/TypeScript: var usage (should be let/const)
rg -c "^\s*var\s+" -g '*.{js,ts,jsx,tsx}' -g '!node_modules' 2>/dev/null | sort -t: -k2 -rn | head -10

# JavaScript: callback hell (nested callbacks)
rg -c "function\s*\(" -g '*.{js,ts}' -g '!node_modules' 2>/dev/null | sort -t: -k2 -rn | head -10

# Python: old-style string formatting
rg -c '% ["\x27(]' -g '*.py' -g '!vendor' 2>/dev/null | sort -t: -k2 -rn | head -10

# Python: bare except
rg -n "except:" -g '*.py' -g '!vendor' 2>/dev/null

# Deprecated React patterns
rg -n "componentWillMount|componentWillReceiveProps|componentWillUpdate|React\.createClass|mixins\s*:" \
  -g '*.{jsx,tsx,js,ts}' -g '!node_modules' 2>/dev/null

Step 4: Detect Missing or Weak Tests

# Test file ratio
SRC_COUNT=$(find . -type f \( -name "*.ts" -o -name "*.js" -o -name "*.py" -o -name "*.go" \) \
  -not -path '*/node_modules/*' -not -path '*/vendor/*' -not -path '*/test*' -not -path '*/__test*' \
  -not -path '*/*.test.*' -not -path '*/*.spec.*' -not -path '*/dist/*' | wc -l)
TEST_COUNT=$(find . -type f \( -name "*.test.*" -o -name "*.spec.*" -o -name "test_*" -o -name "*_test.*" \) \
  -not -path '*/node_modules/*' | wc -l)
echo "Source files: $SRC_COUNT, Test files: $TEST_COUNT, Ratio: $(echo "scale=1; $TEST_COUNT * 100 / ($SRC_COUNT + 1)" | bc)%"

# Source files with no corresponding test
find . -type f -name "*.ts" -not -name "*.test.*" -not -name "*.spec.*" \
  -not -path '*/node_modules/*' -not -path '*/dist/*' | while read f; do
  BASE=$(basename "$f" .ts)
  if ! find . -type f \( -name "${BASE}.test.ts" -o -name "${BASE}.spec.ts" -o -name "test_${BASE}*" \) \
    -not -path '*/node_modules/*' 2>/dev/null | grep -q .; then
    echo "NO TEST: $f"
  fi
done | head -20

Step 5: Detect Dependency Issues

# Node.js: outdated dependencies
npm outdated 2>/dev/null || true
# Check for deprecated packages in package.json
cat package.json 2>/dev/null | python3 -c "
import json, sys
try:
    d = json.load(sys.stdin)
    deps = {**d.get('dependencies',{}), **d.get('devDependencies',{})}
    deprecated = ['request', 'node-uuid', 'nomnom', 'optimist', 'jade', 'istanbul', 'coffee-script', 'bower', 'grunt']
    for pkg in deprecated:
        if pkg in deps:
            print(f'DEPRECATED: {pkg}@{deps[pkg]}')
except: pass
"

# Python: check requirements age
cat requirements.txt 2>/dev/null | head -30
pip list --outdated 2>/dev/null | head -20

# Go: check go.sum for old versions
cat go.sum 2>/dev/null | wc -l

Step 6: Detect Code Duplication Indicators

# Find suspiciously similar file names (copy-paste indicators)
find . -type f -name "*.ts" -not -path '*/node_modules/*' -not -path '*/dist/*' | \
  xargs -I{} basename {} | sort | uniq -d

# Find repeated import patterns (same large import block = shared code candidate)
rg -c "^import" -g '*.{ts,js,tsx,jsx}' -g '!node_modules' 2>/dev/null | \
  sort -t: -k2 -rn | head -10

# Find files with very similar line counts (heuristic for copies)
find . -type f \( -name "*.ts" -o -name "*.js" \) \
  -not -path '*/node_modules/*' -not -path '*/dist/*' \
  -exec wc -l {} + 2>/dev/null | sort -n | awk '{print $1}' | uniq -d | head -5

Step 7: Generate Report

Analyze all findings with AI reasoning. For each debt item, assess:

  • Risk: How likely is this to cause bugs, outages, or slow development?
  • Effort: T-shirt size (XS/S/M/L/XL) to fix
  • Impact: What improves when fixed? (velocity, reliability, onboarding, security)

Produce a prioritized report:

# Tech Debt Report — [project name]
Generated: [date]

## Summary
- Total debt items: N
- Critical (fix now): N
- High (next sprint): N
- Medium (backlog): N
- Low (opportunistic): N

## Critical Items
1. [item] — Risk: critical | Effort: S | Impact: ...
   **Why:** [AI reasoning about the risk]
   **Fix:** [specific remediation steps]

## High Priority Items
...

## Metrics
- TODO/FIXME count: N (N are >6 months old)
- Test coverage ratio: N%
- Files >500 lines: N
- Deprecated dependencies: N
- Code duplication indicators: N hotspots

2. hotspots — Complexity Hotspot Map

Run Steps 2 and 6 only. Output the top 10 files that are:

  • Largest by line count
  • Most frequently changed (git churn)
  • Most complex (deep nesting)
# Git churn — most frequently modified files in last 90 days
git log --since="90 days ago" --name-only --pretty=format: 2>/dev/null | \
  grep -v '^$' | sort | uniq -c | sort -rn | head -20

Cross-reference size × churn × nesting to find the "burning" hotspots — large, complex files that change often are the highest-ROI refactoring targets.

3. todos — TODO/FIXME Audit

Run Step 1 only. Group by file, show git blame age for each, flag ancient ones.

Output format:

[CRITICAL] path/to/file.ts:42 — HACK: workaround for API bug (author, 2024-03-15)
[MEDIUM]   path/to/file.ts:87 — TODO: add validation (author, 2025-11-02)
[LOW]      path/to/other.py:12 — TODO: optimize later (author, 2026-04-01)

4. deps — Dependency Health

Run Step 5 only. Show:

  • Outdated packages with how far behind they are (major/minor/patch)
  • Known deprecated packages
  • Packages with known vulnerabilities (npm audit / pip-audit if available)

5. tests — Test Coverage Gaps

Run Step 4 only. List source files without corresponding tests, sorted by:

  1. Size (larger untested files = higher risk)
  2. Git churn (frequently changed untested files = highest risk)

Output Formats

  • text (default): Human-readable report with sections and bullet points
  • json: Machine-readable for CI/CD integration, structured as {summary, items: [{category, severity, file, line, message, effort, fix}]}
  • markdown: Formatted report suitable for PR comments or wiki pages

CI Integration

Exit codes:

  • 0: No critical or high debt items
  • 1: Critical items found (fail the build)
  • 2: High items exceed threshold

Use with --max-critical 0 --max-high 10 to set thresholds.

Notes

  • Adapts detectors to the project's language (auto-detected from file extensions and config files)
  • Git history required for churn and age analysis — works without git but reports are less useful
  • Does not execute code or install dependencies — static analysis only
  • Large monorepos: pass a subdirectory to scope the scan