personamanagmentlayer__pcl/stdlib/security/codeql-expert/SKILL.md

name, version, description, category, tags, allowed-tools

name	version	description	category	tags	allowed-tools
codeql-expert	1.1.0	Expert-level CodeQL for static analysis, vulnerability detection, and security code scanning. Use when the user mentions static analysis, SAST, vulnerability detection, or github security, or when the task involves writing CodeQL queries, building a CodeQL database, taint tracking, or scanning for injection and hardcoded credentials.	security	codeql static-analysis sast vulnerability-detection github-security	Read Write Edit Bash(codeql:*, gh:*)

CodeQL Expert

Expert guidance for CodeQL static analysis, custom query development, vulnerability detection, and integration with CI/CD pipelines.

Core Concepts

CodeQL Overview

• Semantic code analysis engine
• Treats code as data (queryable database)
• Supports C/C++, C#, Go, Java, JavaScript/TypeScript, Python, Ruby
• Powers GitHub Code Scanning
• Custom query development with QL language

CodeQL Workflow

1. Extract code to database
2. Write QL queries
3. Run analysis
4. Review results
5. Fix vulnerabilities
6. Integrate into CI/CD

Query Types

• Security queries (vulnerabilities)
• Code quality queries (bugs, code smells)
• Compliance queries (coding standards)
• Custom queries (org-specific patterns)

Installation & Setup

# Download CodeQL CLI
wget https://github.com/github/codeql-cli-binaries/releases/latest/download/codeql-linux64.zip
unzip codeql-linux64.zip
export PATH="$PATH:/path/to/codeql"

# Clone CodeQL queries
git clone https://github.com/github/codeql.git codeql-repo

# Verify
codeql --version

Create Database

# JavaScript/TypeScript
codeql database create my-js-db --language=javascript

# Java (requires build)
codeql database create my-java-db \
  --language=java \
  --command="mvn clean package"

# Python
codeql database create my-python-db --language=python

# Multiple languages
codeql database create my-db --db-cluster --language=javascript,python

Writing CodeQL Queries

Basic Query Structure

/**
 * @name SQL Injection
 * @description Detects SQL injection vulnerabilities
 * @kind path-problem
 * @problem.severity error
 * @security-severity 9.8
 * @precision high
 * @id js/sql-injection
 * @tags security external/cwe/cwe-089
 */

import javascript
import semmle.javascript.security.dataflow.SqlInjectionQuery
import DataFlow::PathGraph

from Configuration cfg, DataFlow::PathNode source, DataFlow::PathNode sink
where cfg.hasFlowPath(source, sink)
select sink.getNode(), source, sink,
  "SQL query depends on $@.", source.getNode(), "user input"

Find XSS Vulnerabilities

/**
 * @name Cross-site scripting
 * @kind path-problem
 */

import javascript
import semmle.javascript.security.dataflow.DomBasedXssQuery
import DataFlow::PathGraph

from Configuration cfg, DataFlow::PathNode source, DataFlow::PathNode sink
where cfg.hasFlowPath(source, sink)
select sink.getNode(), source, sink,
  "XSS vulnerability due to $@.", source.getNode(), "user input"

Find Hardcoded Credentials

/**
 * @name Hardcoded credentials
 * @kind problem
 */

import javascript

from StringLiteral str, Variable v
where
  v.getAnAssignedExpr() = str and
  (
    v.getName().toLowerCase().matches("%password%") or
    v.getName().toLowerCase().matches("%apikey%") or
    v.getName().toLowerCase().matches("%secret%")
  ) and
  str.getValue().length() > 8 and
  not str.getValue().matches("TODO%")
select str, "Hardcoded credential: " + v.getName()

Custom Taint Tracking

/**
 * @name Custom taint tracking
 */

import javascript
import semmle.javascript.dataflow.DataFlow

class CustomTaintTracking extends TaintTracking::Configuration {
  CustomTaintTracking() { this = "CustomTaintTracking" }

  override predicate isSource(DataFlow::Node source) {
    source instanceof RemoteFlowSource
  }

  override predicate isSink(DataFlow::Node sink) {
    exists(CallExpr call |
      call.getCalleeName() in ["exec", "eval", "system"]
    |
      sink.asExpr() = call.getAnArgument()
    )
  }

  override predicate isSanitizer(DataFlow::Node node) {
    node = DataFlow::BarrierGuard<StringOps::Validation>::getABarrierNode()
  }
}

from CustomTaintTracking cfg, DataFlow::PathNode source, DataFlow::PathNode sink
where cfg.hasFlowPath(source, sink)
select sink.getNode(), source, sink,
  "Dangerous operation with $@.", source.getNode(), "user input"

Running CodeQL

# Analyze database
codeql database analyze my-db \
  --format=sarif-latest \
  --output=results.sarif \
  codeql/javascript-queries:codeql-suites/javascript-security-extended.qls

# Run custom query
codeql query run my-query.ql --database=my-db --output=results.bqrs

# Convert to CSV
codeql bqrs decode results.bqrs --format=csv --output=results.csv

GitHub Actions Integration

name: CodeQL Analysis

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  analyze:
    runs-on: ubuntu-latest
    permissions:
      security-events: write

    strategy:
      matrix:
        language: ['javascript', 'python']

    steps:
      - uses: actions/checkout@v4

      - name: Initialize CodeQL
        uses: github/codeql-action/init@v2
        with:
          languages: ${{ matrix.language }}
          queries: +security-extended

      - name: Autobuild
        uses: github/codeql-action/autobuild@v2

      - name: Perform CodeQL Analysis
        uses: github/codeql-action/analyze@v2

Best Practices

• Start with built-in queries
• Test on small codebases first
• Optimize for performance
• Add clear documentation
• Tune to reduce false positives
• Integrate into CI/CD early

Resources

• CodeQL Docs: https://codeql.github.com/docs/
• Queries: https://github.com/github/codeql
• Code Scanning: https://docs.github.com/en/code-security/code-scanning