alinaqi/maggy/cpg-analysis

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Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing

Install

npx vskill@latest install alinaqi/maggy/cpg-analysis

SKILL.md

CPG Analysis Skill

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 │
└────────────────────────────────────────────────────────────────┘

Tier Selection Guide

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

Tier 2: Joern CPG (CodeBadger MCP)

When to Use Joern
ScenarioWhy JoernTier 1 Can't Do This
Trace data flow through functionsFull DDG traversalTier 1 has no data flow
Understanding control flow pathsCFG analysis with branch conditionsTier 1 has no CFG
Finding dead/unreachable codePDG reachability analysisTier 1 only detects unused exports
Complex refactoring impactCross-function dependency chainsTier 1 limited to call graph
Auditing third-party library usageDeep call chain traversalTier 1 stops at import boundary
Understanding exception flowCFG includes throw/catch pathsTier 1 ignores exceptions
Key MCP Tools (Joern/CodeBadger)
ToolPurposeExample Query
generate_cpgBuild CPG for projectFirst-time setup or after major changes
get_cpg_statusCheck CPG build statusVerify CPG is ready before querying
run_cpgql_queryRun arbitrary CPGQL queriescpg.method("login").callOut.code.l
get_cpgql_syntax_helpQuery language referenceWhen unsure about query syntax
get_cfgControl flow graph for a methodUnderstand execution paths in a function
list_methodsList all methods in projectOverview of available functions
get_method_sourceGet source code of a methodRead specific function source
list_callsList calls from/to a methodCaller/callee analysis
get_call_graphFull call graph visualizationUnderstand call chains
get_type_definitionType/class definitionsUnderstand type hierarchy
Supported Languages (Joern)

Java, Scala, C/C++, Python, JavaScript, TypeScript, PHP, Ruby, Go, Kotlin, Swift, Lua

Not supported: Rust (use CodeQL for Rust)

MCP Configuration (Joern)
json
{
"mcpServers": {
"codebadger": {
"url": "http://localhost:4242/mcp",
"type": "http"
}
}
}
Prerequisites
  • Docker (for Joern backend)
  • Python 3.10+ (for MCP server)
  • Install: ~/.claude/install-graph-tools.sh --joern
Common CPGQL Queries
scala
// 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

Tier 3: CodeQL

When to Use CodeQL
ScenarioWhy CodeQLOther Tiers Can't Do This
Security audit before releaseInterprocedural taint analysisJoern has basic taint, CodeQL is deeper
Reviewing auth/payment codeData flow from source to sinkCross-function, cross-file taint
PR security reviewTargeted vulnerability scanPre-built OWASP query packs
Compliance checkingCWE/OWASP pattern matchingCurated security query suites
Rust security analysisFull Rust supportJoern doesn't support Rust
Key MCP Tools (CodeQL)
ToolPurpose
run_queryExecute a CodeQL query against the database
find_definitionsLocate symbol definitions
find_referencesFind all references to a symbol
get_resultsParse BQRS (Binary Query Result Sets)
Supported Languages (CodeQL)

C/C++, C#, Go, Java, Kotlin, JavaScript, TypeScript, Python, Ruby, Swift, Rust

MCP Configuration (CodeQL)
json
{
"mcpServers": {
"codeql": {
"command": "codeql-mcp",
"args": ["--database", ".code-graph/codeql-db"]
}
}
}
Prerequisites
  • CodeQL CLI (brew install codeql on macOS)
  • Install: ~/.claude/install-graph-tools.sh --codeql
Common CodeQL Patterns
ql
// SQL injection: user input flows to SQL query
import python
from DataFlow::PathNode source, DataFlow::PathNode sink
where TaintTracking::hasFlowPath(source, sink)
and source instanceof RemoteFlowSource
and sink instanceof SqlExecution
select sink, source, sink, "SQL injection from $@.", source, "user input"
// Unvalidated redirect
from DataFlow::PathNode source, DataFlow::PathNode sink
where source instanceof RemoteFlowSource
and sink instanceof RedirectSink
select sink, "Unvalidated redirect from user input"

Combined Workflow: Deep Analysis

When performing security review or complex refactoring, use all tiers:

1. SCOPE → Tier 1: detect_changes / get_architecture
Identify files and modules in scope
2. STRUCTURE → Tier 1: search_graph / trace_call_path
Map the call graph and dependencies
3. FLOW → Tier 2: get_cfg / run_cpgql_query
Analyze control flow and data flow paths
4. SECURITY → Tier 3: run_query with taint analysis
Check for vulnerabilities in data paths
5. REPORT → Combine findings from all tiers
Prioritize: Critical > High > Medium > Low

Anti-Patterns

Anti-PatternDo This Instead
Using Joern/CodeQL for simple symbol lookupUse Tier 1 search_graph (sub-ms vs seconds)
Running full CPG build on every commitBuild CPG on-demand; use Tier 1 for continuous monitoring
Querying Joern without checking get_cpg_statusAlways verify CPG is built and current before querying
Running CodeQL without a specific security questionHave a hypothesis first; CodeQL queries are expensive
Ignoring Tier 1 blast radius before deep analysisAlways scope with Tier 1 first, then go deep on flagged areas
Using CodeQL for non-security structural queriesUse Joern CPGQL for structural/flow queries; CodeQL for security

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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Source

Popularity

Repository stars
701
Repository forks
55
7-day trend score
33

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