Deep architectural context building for security audits. Use when conducting security reviews, building codebase understanding, mapping trust boundaries, or preparing for vulnerability analysis. Inspired by Trail of Bits methodology.
npx skills add https://github.com/sendaifun/skills --skill zz-code-recon
Build comprehensive architectural understanding through ultra-granular code analysis. Designed for security auditors, code reviewers, and developers who need to rapidly understand unfamiliar codebases before diving deep.
CodeRecon is a systematic approach to codebase reconnaissance that builds layered understanding from high-level architecture down to implementation details. Inspired by Trail of Bits' audit-context-building methodology.
Before you can find vulnerabilities, you need to understand:
This skill provides a structured methodology for building that context efficiently.
┌─────────────┐
│ DETAILS │ ← Implementation specifics
─┼─────────────┼─
/ │ FUNCTIONS │ ← Key function analysis
/ ─┼─────────────┼─
/ │ MODULES │ ← Component relationships
/ ─┼─────────────┼─
/ │ ARCHITECTURE│ ← System structure
/ ─┼─────────────┼─
/ │ OVERVIEW │ ← High-level understanding
─────────┴─────────────┴─────────
Start broad, go deep systematically.
Gather basic project information:
# Check for documentation
ls -la README* ARCHITECTURE* SECURITY* CHANGELOG* docs/
# Identify build system
ls package.json Cargo.toml go.mod pyproject.toml Makefile
# Check for tests
ls -la test* spec* *_test* __tests__/
# Identify CI/CD
ls -la .github/workflows/ .gitlab-ci.yml Jenkinsfile .circleci/
# Language distribution
find . -type f -name "*.py" | wc -l
find . -type f -name "*.js" -o -name "*.ts" | wc -l
find . -type f -name "*.go" | wc -l
find . -type f -name "*.rs" | wc -l
find . -type f -name "*.sol" | wc -l
# Framework indicators
grep -r "from flask" --include="*.py" | head -1
grep -r "from django" --include="*.py" | head -1
grep -r "express\|fastify" --include="*.js" | head -1
grep -r "anchor_lang" --include="*.rs" | head -1
# Python dependencies
cat requirements.txt pyproject.toml setup.py 2>/dev/null | grep -E "^\s*[a-zA-Z]"
# Node.js dependencies
cat package.json | jq '.dependencies, .devDependencies'
# Rust dependencies
cat Cargo.toml | grep -A 100 "\[dependencies\]"
# Go dependencies
cat go.mod | grep -E "^\s+[a-z]"
## Technology Map: [PROJECT NAME]
### Languages
| Language | Files | Lines | Primary Use |
|----------|-------|-------|-------------|
| Python | 150 | 25K | Backend API |
| TypeScript | 80 | 12K | Frontend |
| Solidity | 12 | 2K | Smart Contracts |
### Key Dependencies
| Package | Version | Purpose | Security Notes |
|---------|---------|---------|----------------|
| fastapi | 0.100.0 | Web framework | Recent CVEs: None |
| web3.py | 6.0.0 | Blockchain client | Check signing |
| pyjwt | 2.8.0 | JWT handling | Verify alg checks |
### Infrastructure
- Database: PostgreSQL 15
- Cache: Redis 7
- Message Queue: RabbitMQ
- Container: Docker + K8s
# Top-level structure
tree -L 2 -d
# Identify entry points
find . -name "main.py" -o -name "app.py" -o -name "index.ts" -o -name "main.go"
# Identify config
find . -name "config*" -o -name "settings*" -o -name ".env*"
Look for common patterns:
project/
├── api/ # HTTP endpoints
├── auth/ # Authentication
├── core/ # Business logic
├── db/ # Database layer
├── models/ # Data models
├── services/ # External services
├── utils/ # Utilities
├── workers/ # Background jobs
└── tests/ # Test suite
┌─────────────────────────────────────────────────────────────┐
│ CLIENTS │
│ (Web, Mobile, API Consumers) │
└─────────────────────────┬───────────────────────────────────┘
│ HTTPS
▼
┌─────────────────────────────────────────────────────────────┐
│ API GATEWAY │
│ (Rate Limiting, Auth) │
└─────────────────────────┬───────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Auth │ │ Core │ │ Admin │
│ Service │ │ API │ │ API │
└────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │
└──────────────┼──────────────┘
│
┌─────────────┼─────────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Database │ │ Cache │ │ External │
│ (Postgres)│ │ (Redis) │ │ APIs │
└──────────┘ └──────────┘ └──────────┘
Map where trust levels change:
## Trust Boundaries
### Boundary 1: Internet → API Gateway
- **Type:** Network boundary
- **Controls:** TLS, Rate limiting, WAF
- **Risks:** DDoS, Injection, Auth bypass
### Boundary 2: API Gateway → Services
- **Type:** Authentication boundary
- **Controls:** JWT validation, Role checks
- **Risks:** Token forgery, Privilege escalation
### Boundary 3: Services → Database
- **Type:** Data access boundary
- **Controls:** Query parameterization, Connection pooling
- **Risks:** SQL injection, Data leakage
### Boundary 4: Services → External APIs
- **Type:** Third-party integration
- **Controls:** API keys, Request signing
- **Risks:** SSRF, Secret exposure
For each entry point type:
# HTTP Routes - map all endpoints
grep -rn "@app.route\|@router\|@api_view" --include="*.py"
grep -rn "app.(get|post|put|delete)\|router.(get|post)" --include="*.ts"
# CLI Commands
grep -rn "@click.command\|argparse\|clap" --include="*.py" --include="*.rs"
# Event Handlers
grep -rn "@consumer\|@handler\|on_message" --include="*.py"
## Entry Points
### HTTP API
| Method | Path | Handler | Auth | Input |
|--------|------|---------|------|-------|
| POST | /api/login | auth.login | None | JSON body |
| GET | /api/users | users.list | JWT | Query params |
| POST | /api/transfer | tx.transfer | JWT + 2FA | JSON body |
| GET | /admin/logs | admin.logs | Admin JWT | Query params |
### WebSocket
| Event | Handler | Auth | Data |
|-------|---------|------|------|
| connect | ws.connect | JWT | None |
| message | ws.message | Session | JSON |
### Background Jobs
| Queue | Handler | Trigger | Data Source |
|-------|---------|---------|-------------|
| emails | email.send | API call | Database |
| reports | report.gen | Cron | Database |
For each critical endpoint, trace data flow:
POST /api/transfer
│
▼
┌──────────────────┐
│ Request Parser │ ← Validate JSON schema
│ (validation.py) │
└────────┬─────────┘
│ TransferRequest
▼
┌──────────────────┐
│ Auth Middleware │ ← Verify JWT, extract user
│ (middleware.py) │
└────────┬─────────┘
│ User context
▼
┌──────────────────┐
│ Transfer Service │ ← Business logic
│ (transfer.py) │
└────────┬─────────┘
│
┌────┴────┐
▼ ▼
┌────────┐ ┌────────┐
│ DB │ │External│
│ Write │ │ API │
└────────┘ └────────┘
Search for security-sensitive operations:
# Authentication
grep -rn "def login\|def authenticate\|def verify_token" --include="*.py"
grep -rn "function login\|authenticate\|verifyToken" --include="*.ts"
# Authorization
grep -rn "def is_authorized\|def check_permission\|@requires_role" --include="*.py"
# Cryptography
grep -rn "encrypt\|decrypt\|hash\|sign\|verify" --include="*.py"
grep -rn "crypto\.\|bcrypt\|argon2" --include="*.py"
# Database
grep -rn "execute\|query\|cursor" --include="*.py"
grep -rn "\.query\|\.execute\|\.raw" --include="*.ts"
# File Operations
grep -rn "open\(.*\)\|read\|write\|unlink" --include="*.py"
For each critical function:
### Function: `transfer_funds()`
**Location:** `services/transfer.py:45`
**Purpose:** Execute fund transfer between accounts
**Parameters:**
| Name | Type | Source | Validation |
|------|------|--------|------------|
| from_account | str | JWT claim | UUID format |
| to_account | str | Request body | UUID format, exists check |
| amount | Decimal | Request body | > 0, <= balance |
**Returns:** TransferResult
**Side Effects:**
- Writes to `transactions` table
- Calls external payment API
- Emits `transfer_completed` event
**Security Considerations:**
- Requires authenticated user
- Rate limited to 10/minute
- Amount validated against balance
- Audit logged
**Potential Risks:**
- Race condition if concurrent transfers?
- What if external API fails mid-transfer?
transfer_funds()
├── validate_request()
│ └── check_uuid_format()
├── get_user_balance()
│ └── db.query()
├── check_rate_limit()
│ └── redis.get()
├── execute_transfer() ← CRITICAL
│ ├── db.begin_transaction()
│ ├── update_balance() ← State change
│ ├── external_api.send() ← External call
│ └── db.commit()
└── emit_event()
# Find all config loading
grep -rn "os.environ\|getenv\|config\." --include="*.py"
grep -rn "process.env\|config\." --include="*.ts"
# Check for hardcoded secrets
grep -rn "password\s*=\|secret\s*=\|api_key\s*=" --include="*.py"
grep -rn "-----BEGIN\|sk-\|pk_live_" .
# Find exception handling
grep -rn "except.*:" --include="*.py" -A 2
grep -rn "catch\s*(" --include="*.ts" -A 2
# Find error responses
grep -rn "return.*error\|raise.*Error" --include="*.py"
# Find logging statements
grep -rn "logger\.\|logging\.\|console\.log" --include="*.py" --include="*.ts"
# Check what's being logged
grep -rn "log.*password\|log.*token\|log.*secret" --include="*.py"
# [PROJECT NAME] - Security Context Document
## Executive Summary
[2-3 sentences on what this system does]
## Technology Stack
[From Phase 1]
## Architecture
[Diagram from Phase 2]
## Trust Boundaries
[From Phase 2.4]
## Entry Points
[Table from Phase 3.2]
## Critical Functions
[Analysis from Phase 4]
## Data Flows
[Diagrams from Phase 3.3]
## Security Controls
| Control | Implementation | Location | Notes |
|---------|----------------|----------|-------|
| Authentication | JWT | middleware/auth.py | RS256 signing |
| Authorization | RBAC | decorators/auth.py | Role-based |
| Input Validation | Pydantic | schemas/*.py | Type checking |
| Encryption | AES-256-GCM | utils/crypto.py | At-rest |
## Areas Requiring Focus
1. [High-risk area 1]
2. [High-risk area 2]
3. [High-risk area 3]
## Open Questions
- [ ] How is X handled when Y?
- [ ] What happens if Z fails?
# Full recon script
./scripts/recon.sh /path/to/project
# Generate entry point map
./scripts/map-endpoints.sh /path/to/project
# Create call graph
./scripts/callgraph.sh /path/to/project
code-recon/
├── SKILL.md # This file
├── resources/
│ ├── recon-checklist.md # Comprehensive checklist
│ └── question-bank.md # Questions to answer
├── examples/
│ ├── web-app-recon/ # Web application example
│ └── smart-contract-recon/ # Smart contract example
├── templates/
│ └── context-document.md # Output template
└── docs/
└── advanced-techniques.md # Deep dive techniques
You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.
Implement authentication and authorization with Better Auth - a framework-agnostic TypeScript authentication framework. Features include email/password authentication with verification, OAuth providers (Google, GitHub, Discord, etc.), two-factor authentication (TOTP, SMS), passkeys/WebAuthn support, session management, role-based access control (RBAC), rate limiting, and database adapters. Use when adding authentication to applications, implementing OAuth flows, setting up 2FA/MFA, managing user sessions, configuring authorization rules, or building secure authentication systems for web applications.
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.
Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.
Perform language and framework specific security best-practice reviews and suggest improvements. Use when the user explicitly requests security best practices guidance, a security review or report, or secure-by-default coding help. Supports Python, JavaScript/TypeScript, and Go. Do NOT use for general code review, debugging, threat modeling (use security-threat-model), or non-security tasks.
Configures API gateways for routing, authentication, rate limiting, and request transformation in microservice architectures. Use when setting up Kong, Nginx, AWS API Gateway, or Traefik for centralized API management.
Take sendaifun/zz-code-recon from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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same name cannot sit side by side — one of them will be ignored.