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Audit Codebase

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FlorianBruniaux
audit-codebase

Codebase health audit scoring 7 categories with progression plan

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill nameaudit-codebase
Stars
6K
Forks
782
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by FlorianBruniaux on GitHub. Read the source before you install it.

Installation

Install the Audit Codebase AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/audit-codebase .claude/skills/audit-codebase
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit Codebase in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audit Codebase on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audit Codebase is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Codebase Health Audit

Score your codebase across 7 health categories, identify weak spots, and get a prioritized progression plan. Each category is scored 1-10 with specific, actionable findings.

Time: 3-8 minutes depending on codebase size | Scope: Full project

Instructions

You are a senior engineering consultant performing a codebase health assessment. Analyze the project across all 7 categories (or a subset if $ARGUMENTS specifies categories), score each one, and produce a progression plan.

If $ARGUMENTS contains category names (e.g., "secrets security tests"), only audit those categories. Otherwise, audit all 7.


Category 1: Secrets (Weight: 15%)

Scan for hardcoded credentials, API keys, and sensitive data in code.

bash
# API keys and tokens in code
grep -rn --include="*.{js,ts,py,go,java,rb,php,yaml,yml,json,toml,env,cfg,ini,conf}" \
  -E '(?i)(api[_-]?key|apikey|secret[_-]?key|password|passwd|token|bearer)\s*[=:]\s*["'\''"][^"'\'']{8,}' \
  --exclude-dir={node_modules,vendor,.git,dist,build,target,__pycache__,.venv} . 2>/dev/null | head -20

# Known provider patterns
grep -rn -E 'sk-[a-zA-Z0-9]{20,}|ghp_[a-zA-Z0-9]{36}|AKIA[A-Z0-9]{16}|xox[bps]-[a-zA-Z0-9\-]{20,}' \
  --exclude-dir={node_modules,vendor,.git,dist,build,target} . 2>/dev/null | head -10

# .env files committed
find . -name ".env*" -not -name ".env.example" -not -path "*/node_modules/*" -not -path "*/.git/*" -type f 2>/dev/null

# .gitignore coverage
[ -f ".gitignore" ] && {
  for pattern in ".env" "*.pem" "*.key" "*.p12"; do
    grep -q "$pattern" .gitignore 2>/dev/null && echo "OK: $pattern in .gitignore" || echo "MISSING: $pattern not in .gitignore"
  done
}

Scoring:

  • 10: Zero secrets, .gitignore covers all sensitive patterns, .env.example exists
  • 7-9: No secrets in code, minor .gitignore gaps
  • 4-6: 1-3 potential secrets found (may be false positives), or .env committed
  • 1-3: Multiple secrets in code, private keys committed, no .gitignore protection

Category 2: Security (Weight: 15%)

Check for OWASP-style vulnerabilities and unsafe patterns.

bash
# SQL injection patterns
grep -rn --include="*.{js,ts,py,java,go,rb,php}" \
  -E '(query|execute|exec)\s*\(\s*[`"'\''"].*\+|\$\{|%s|\.format\(' \
  --exclude-dir={node_modules,vendor,.git,dist,build,target,test,__test__} . 2>/dev/null | head -15

# eval/exec usage
grep -rn -E '\b(eval|exec|execSync|Function\(|setTimeout\([^,]*[+`]|setInterval\([^,]*[+`])' \
  --include="*.{js,ts,py}" --exclude-dir={node_modules,vendor,.git,dist} . 2>/dev/null | head -10

# Unsafe deserialization
grep -rn -E '(pickle\.loads|yaml\.load\(|JSON\.parse\(.*user|unserialize\()' \
  --exclude-dir={node_modules,vendor,.git,dist} . 2>/dev/null | head -10

# Missing input validation on routes/endpoints
grep -rn -E '(app\.(get|post|put|delete|patch)|router\.(get|post|put|delete))' \
  --include="*.{js,ts}" --exclude-dir={node_modules,.git,dist} . 2>/dev/null | wc -l

Scoring:

  • 10: No injection patterns, no eval/exec, input validation on all endpoints, CSP headers
  • 7-9: Minor issues (1-2 eval usages in non-user-facing code)
  • 4-6: Some injection patterns, missing validation on several endpoints
  • 1-3: Active SQL injection risk, eval with user input, no input sanitization

Category 3: Dependencies (Weight: 15%)

Audit package health, known CVEs, and freshness.

bash
# Node.js audit
[ -f "package-lock.json" ] && npm audit --json 2>/dev/null | jq '.metadata.vulnerabilities' 2>/dev/null
[ -f "package.json" ] && npx npm-check 2>/dev/null | tail -20

# Python
[ -f "requirements.txt" ] && pip-audit -r requirements.txt 2>/dev/null | tail -20
[ -f "pyproject.toml" ] && pip-audit 2>/dev/null | tail -20

# Rust
[ -f "Cargo.toml" ] && cargo audit 2>/dev/null | tail -20

# Go
[ -f "go.mod" ] && govulncheck ./... 2>/dev/null | tail -20

# Lockfile presence
for lockfile in package-lock.json yarn.lock pnpm-lock.yaml Cargo.lock go.sum poetry.lock; do
  [ -f "$lockfile" ] && echo "OK: $lockfile exists"
done
[ ! -f "package-lock.json" ] && [ ! -f "yarn.lock" ] && [ ! -f "pnpm-lock.yaml" ] && [ -f "package.json" ] && echo "MISSING: No lockfile for Node.js project"

Scoring:

  • 10: Zero CVEs, lockfile present, all dependencies <6 months old
  • 7-9: No critical/high CVEs, minor outdated packages
  • 4-6: 1-3 high CVEs, or >50% dependencies outdated by a year+
  • 1-3: Critical CVEs, no lockfile, abandoned dependencies

Category 4: Structure (Weight: 10%)

Evaluate file organization, naming conventions, and module boundaries.

bash
# File count per top-level directory
for dir in */; do
  [ -d "$dir" ] && [ "$dir" != "node_modules/" ] && [ "$dir" != ".git/" ] && [ "$dir" != "vendor/" ] && \
    echo "$dir: $(find "$dir" -type f -not -path "*/node_modules/*" -not -path "*/.git/*" 2>/dev/null | wc -l) files"
done

# Deeply nested files (complexity indicator)
find . -type f -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/vendor/*" -mindepth 6 2>/dev/null | head -10

# Mixed naming conventions
find . -type f -name "*_*" -not -path "*/node_modules/*" -not -path "*/.git/*" 2>/dev/null | head -5
find . -type f -name "*-*" -not -path "*/node_modules/*" -not -path "*/.git/*" 2>/dev/null | head -5

# Circular dependency indicators (for JS/TS projects)
[ -f "package.json" ] && npx madge --circular --extensions ts,js src/ 2>/dev/null | head -20

Scoring:

  • 10: Clear module boundaries, consistent naming, no circular deps, flat hierarchy
  • 7-9: Good structure with minor inconsistencies
  • 4-6: Mixed conventions, some circular deps, unclear module boundaries
  • 1-3: No clear structure, deeply nested files, widespread circular deps

Category 5: Tests (Weight: 15%)

Assess test coverage, test quality, and testing practices.

bash
# Test file count vs source file count
TEST_COUNT=$(find . -type f \( -name "*.test.*" -o -name "*.spec.*" -o -name "test_*" -o -path "*/test/*" -o -path "*/__tests__/*" \) \
  -not -path "*/node_modules/*" -not -path "*/.git/*" 2>/dev/null | wc -l)
SRC_COUNT=$(find . -type f \( -name "*.ts" -o -name "*.js" -o -name "*.py" -o -name "*.go" -o -name "*.java" \) \
  -not -name "*.test.*" -not -name "*.spec.*" -not -name "test_*" \
  -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/dist/*" 2>/dev/null | wc -l)
echo "Test files: $TEST_COUNT | Source files: $SRC_COUNT | Ratio: $(echo "scale=2; $TEST_COUNT / ($SRC_COUNT + 1)" | bc)"

# Coverage config presence
for cfg in jest.config.* vitest.config.* .nycrc .coveragerc pytest.ini setup.cfg; do
  [ -f "$cfg" ] && echo "OK: $cfg exists"
done

# Coverage report (if available)
[ -d "coverage" ] && [ -f "coverage/coverage-summary.json" ] && cat coverage/coverage-summary.json | jq '.total' 2>/dev/null

# Snapshot test count (potential maintenance burden)
find . -name "*.snap" -not -path "*/node_modules/*" 2>/dev/null | wc -l

Scoring:

  • 10: >0.8 test ratio, coverage >80%, CI runs tests, no stale snapshots
  • 7-9: >0.5 test ratio, coverage >60%, coverage config present
  • 4-6: Some tests exist but gaps are obvious, no coverage tracking
  • 1-3: <0.2 test ratio or no tests at all

Category 6: Imports (Weight: 10%)

Check for unused imports, circular dependencies, and type coverage.

bash
# Unused imports (TypeScript/JavaScript)
[ -f "tsconfig.json" ] && npx tsc --noEmit 2>&1 | grep -c "declared but" 2>/dev/null
[ -f "tsconfig.json" ] && npx tsc --noEmit 2>&1 | grep "declared but" | head -10

# TypeScript strict mode
[ -f "tsconfig.json" ] && grep -E '"strict"|"noImplicitAny"|"strictNullChecks"' tsconfig.json 2>/dev/null

# Python unused imports
[ -f "pyproject.toml" ] || [ -f "setup.py" ] && python -m pyflakes . 2>/dev/null | grep "imported but unused" | head -10

# Wildcard imports (code smell)
grep -rn 'import \*' --include="*.{py,ts,js}" --exclude-dir={node_modules,vendor,.git} . 2>/dev/null | head -10

Scoring:

  • 10: Zero unused imports, TypeScript strict mode, no wildcard imports
  • 7-9: <5 unused imports, strict mode enabled with minor gaps
  • 4-6: 5-20 unused imports, no strict mode, some wildcard imports
  • 1-3: >20 unused imports, widespread wildcard imports, no type checking

Category 7: AI Patterns (Weight: 20%)

Evaluate Claude Code configuration maturity and AI-assisted development readiness.

bash
# CLAUDE.md presence and quality
[ -f "CLAUDE.md" ] && echo "OK: CLAUDE.md exists ($(wc -l < CLAUDE.md) lines)" || echo "MISSING: No CLAUDE.md"
[ -f ".claude/settings.json" ] && echo "OK: .claude/settings.json exists" || echo "MISSING: No .claude/settings.json"

# Custom commands
COMMANDS=$(find .claude/commands -name "*.md" 2>/dev/null | wc -l)
echo "Custom commands: $COMMANDS"

# Hooks
HOOKS_CFG=$(grep -c "hooks" .claude/settings.json 2>/dev/null || echo "0")
echo "Hook configurations: $HOOKS_CFG"

# Rules files
RULES=$(find .claude/rules -name "*.md" 2>/dev/null | wc -l)
echo "Rule files: $RULES"

# Agents
AGENTS=$(find .claude/agents -name "*.md" 2>/dev/null | wc -l)
echo "Agent definitions: $AGENTS"

# Skills
SKILLS=$(find .claude/skills -name "*.md" 2>/dev/null | wc -l)
echo "Skills: $SKILLS"

# .gitignore for AI artifacts
grep -q "claude" .gitignore 2>/dev/null && echo "OK: Claude patterns in .gitignore" || echo "INFO: No Claude patterns in .gitignore"

Scoring:

  • 10: CLAUDE.md with conventions, hooks configured, custom commands, rules, agents
  • 7-9: CLAUDE.md exists with project context, some commands or rules
  • 4-6: Basic CLAUDE.md, no hooks or commands
  • 1-3: No CLAUDE.md or empty CLAUDE.md

Scoring & Report

Overall Score Calculation

Overall = (Secrets * 0.15) + (Security * 0.15) + (Dependencies * 0.15) +
          (Structure * 0.10) + (Tests * 0.15) + (Imports * 0.10) +
          (AI Patterns * 0.20)

Round to one decimal place.

Output Format

markdown
## Codebase Health Audit

**Project**: [directory name]
**Date**: [timestamp]
**Categories audited**: [all 7 or filtered subset]

### Overall Score: [X.X] / 10

| Category | Score | Weight | Weighted | Key Finding |
|----------|-------|--------|----------|-------------|
| Secrets | X/10 | 15% | X.XX | [one-line summary] |
| Security | X/10 | 15% | X.XX | [one-line summary] |
| Dependencies | X/10 | 15% | X.XX | [one-line summary] |
| Structure | X/10 | 10% | X.XX | [one-line summary] |
| Tests | X/10 | 15% | X.XX | [one-line summary] |
| Imports | X/10 | 10% | X.XX | [one-line summary] |
| AI Patterns | X/10 | 20% | X.XX | [one-line summary] |
| **Overall** | | **100%** | **X.XX** | |

### Detailed Findings

#### 🔴 Critical (fix immediately)
- [Finding with file:line reference and concrete fix]

#### 🟡 Warning (fix this week)
- [Finding with context and suggested approach]

#### 🟢 Info (nice to improve)
- [Observation with optional suggestion]

### Progression Plan

[Based on overall score, show the appropriate tier]

#### Tier 1: Foundation (current score <5, target: 5)
Focus on eliminating critical risks before anything else.

| Priority | Action | Category | Impact | Effort |
|----------|--------|----------|--------|--------|
| 1 | [specific action] | [category] | [score gain] | [time estimate] |
| 2 | [specific action] | [category] | [score gain] | [time estimate] |
| ... | | | | |

#### Tier 2: Solid (current score 5-7, target: 8)
Build reliable practices on top of the foundation.

| Priority | Action | Category | Impact | Effort |
|----------|--------|----------|--------|--------|
| 1 | [specific action] | [category] | [score gain] | [time estimate] |
| ... | | | | |

#### Tier 3: Excellent (current score 8+, target: 10)
Polish and optimize for maximum team velocity.

| Priority | Action | Category | Impact | Effort |
|----------|--------|----------|--------|--------|
| 1 | [specific action] | [category] | [score gain] | [time estimate] |
| ... | | | | |

### Quick Wins (< 30 minutes each)
1. [Action that improves score with minimal effort]
2. [...]
3. [...]

Severity Split

Approximately 70% of findings should be automatable (scripts, linters, CI checks can detect them). Flag the remaining 30% as requiring human judgment, and explain why automation falls short for those cases.


Sources:

  • Variant Systems codebase analyzer plugin (variantsystems.io, Feb 2026): 7-category analysis framework
  • OWASP Top 10 (2021): Security category patterns
  • Claude Code Security Hardening Guide: AI Patterns category baseline

$ARGUMENTS

Frequently asked questions

What does the Audit Codebase AI skill do?

Codebase health audit scoring 7 categories with progression plan

Why use Audit Codebase on TypingMind?

Because you install it once and use it with any model. Audit Codebase is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audit Codebase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/audit-codebase. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Audit Codebase?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audit Codebase?

As many as you like. As long as a model supports skills, you can use Audit Codebase with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audit Codebase AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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