aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing
$ npx -y skills add alinaqi/maggy --skill cpg-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cpg-analysisContext preview
The summary Claude sees to decide when to auto-load this skill.
Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing
name: cpg-analysis description: Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing when-to-use: "When deep code analysis is needed — control flow, data flow, taint tracking, or security auditing" user-invocable: true effort: high
**Purpose:** Deep code analysis beyond AST. Use Joern for full Code Property Graph (control flow, data flow, program dependencies) and CodeQL for interprocedural taint analysis and vulnerability detection.
**These are opt-in tools.** They require Docker/JVM (Joern) or CodeQL CLI. Use codebase-memory-mcp (Tier 1, always-on) for everyday navigation. Use these for deep analysis when Tier 1 is not enough.
┌────────────────────────────────────────────────────────────────┐ │ CODE PROPERTY GRAPH = AST + CFG + CDG + DDG + PDG │ │ ─────────────────────────────────────────────────────────────│ │ AST = Abstract Syntax Tree (structure) │ │ CFG = Control Flow Graph (execution paths) │ │ CDG = Control Dependency Graph (conditional dependencies) │ │ DDG = Data Dependency Graph (data flow between statements) │ │ PDG = Program Dependency Graph (CDG + DDG combined) │ │ │ │ Tier 2 (Joern): Full CPG with 40+ query tools │ │ Tier 3 (CodeQL): Interprocedural taint + security queries │ └────────────────────────────────────────────────────────────────┘
---
Simple symbol lookup, dependency trace, blast radius? → Tier 1: codebase-memory-mcp (always on, sub-ms) Control flow paths, data flow, dead code, complex refactoring? → Tier 2: Joern CPG (on-demand, seconds) Security audit, taint analysis, vulnerability detection? → Tier 3: CodeQL (on-demand, seconds to minutes) Full security review before release? → All three tiers in sequence
---
| Scenario | Why Joern | Tier 1 Can't Do This | |----------|-----------|---------------------| | Trace data flow through functions | Full DDG traversal | Tier 1 has no data flow | | Understanding control flow paths | CFG analysis with branch conditions | Tier 1 has no CFG | | Finding dead/unreachable code | PDG reachability analysis | Tier 1 only detects unused exports | | Complex refactoring impact | Cross-function dependency chains | Tier 1 limited to call graph | | Auditing third-party library usage | Deep call chain traversal | Tier 1 stops at import boundary | | Understanding exception flow | CFG includes throw/catch paths | Tier 1 ignores exceptions |
| Tool | Purpose | Example Query | |------|---------|---------------| | `generate_cpg` | Build CPG for project | First-time setup or after major changes | | `get_cpg_status` | Check CPG build status | Verify CPG is ready before querying | | `run_cpgql_query` | Run arbitrary CPGQL queries | `cpg.method("login").callOut.code.l` | | `get_cpgql_syntax_help` | Query language reference | When unsure about query syntax | | `get_cfg` | Control flow graph for a method | Understand execution paths in a function | | `list_methods` | List all methods in project | Overview of available functions | | `get_method_source` | Get source code of a method | Read specific function source | | `list_calls` | List calls from/to a method | Caller/callee analysis | | `get_call_graph` | Full call graph visualization | Understand call chains | | `get_type_definition` | Type/class definitions | Understand type hierarchy |
Java, Scala, C/C++, Python, JavaScript, TypeScript, PHP, Ruby, Go, Kotlin, Swift, Lua
**Not supported:** Rust (use CodeQL for Rust)
{
"mcpServers": {
"codebadger": {
"url": "http://localhost:4242/mcp",
"type": "http"
}
}
}// Find all methods that handle user input
cpg.method.where(_.parameter.name(".*input.*|.*request.*")).name.l
// Trace data flow from parameter to return
cpg.method("processPayment").parameter.reachableBy(cpg.method("processPayment").methodReturn).l
// Find methods with high cyclomatic complexity
cpg.method.where(_.controlStructure.size > 10).name.l
// Dead code: methods with no callers
cpg.method.where(_.callIn.size == 0).filter(_.name != "main").name.l
// Exception flow: methods that can throw but callers don't catch
cpg.method.where(_.ast.isThrow.size > 0).callIn.method.filter(_.ast.isTry.size == 0).name.l---
| Scenario | Why CodeQL | Other Tiers Can't Do This | |----------|-----------|--------------------------| | Security audit before release | Interprocedural taint analysis | Joern has basic taint, CodeQL is deeper | | Reviewing auth/payment code | Data flow from source to sink | Cross-function, cross-file taint | | PR security review | Targeted vulnerability scan | Pre-built OWASP query packs | | Compliance checking | CWE/OWASP pattern matching | Curated security query suites | | Rust security analysis | Full Rust support | Joern doesn't support Rust |
| Tool | Purpose | |------|---------| | `run_query` | Execute a CodeQL query against the database | | `find_definitions` | Locate symbol definitions | | `find_references` | Find all references to a symbol | | `get_results` | Parse BQRS (Binary Query Result Sets) |
C/C++, C#, Go, Java, Kotlin, JavaScript, TypeScript, Python, Ruby, Swift, **Rust**
{
"mcpServers": {
"codeql": {
"command": "codeql-mcp",
"args": ["--database", ".code-graph/codeql-db"]
}
}
}Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.
Repo: alinaqi/maggy
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing