Atlas / Skills / alinaqi / Cpg Analysis

Cpg AnalysisSAFE

skills/alinaqi/cpg-analysis

What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
707
01

Overview

What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center

Read from source at commit 3a4a7596e97eOBSERVED · 2026-10-13
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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
---

# 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

| 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 |

### Key MCP Tools (Joern/CodeBadger)

| 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 |

### 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

| 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 |

### Key MCP Tools (CodeQL)

| 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) |

### 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"]
    }
  }
}
```

03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-13 · audit v0.4.1 · source sha 3a4a7596e97efull audit observations/trust-audit/skill/alinaqi__cpg-analysis.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-133a4a7596e97eSAFEB89first audit
05

Questions

What does the Cpg Analysis skill do?

What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center

Is Cpg Analysis safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Cpg Analysis access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (3a4a7596e97e), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.

Advertisement