CodeQL Analysis

CodeQL Analysis is a Quality skill for Claude Code, published by waybarrios in opencode-power-pack.

482 stars39 forkson waybarrios/opencode-power-packAdded 2026/08/26+2% in starsRepository updated 2026/08/24

ai-agentsanthropicclaude-codecode-reviewcodexcodex-clideveloper-toolsgradiohuggingfacellm-toolsmachine-learningml-trainingopenai-codexopencodepipi-coding-agentpi-packagepluginsecurity-auditskills

Install in seconds

Install CodeQL Analysis

Copy CodeQL Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/waybarrios/opencode-power-pack/tree/main/skills/codeql ~/.claude/skills/codeql

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/waybarrios/opencode-power-pack.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/codeql/SKILL.md in waybarrios/opencode-power-pack
Installs to: ~/.claude/skills/codeql
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What CodeQL Analysis does

CodeQL Analysis runs CodeQL database creation, data extensions, and security queries, and can process SARIF output. Use it when CodeQL is explicitly requested or when you need deeper taint-flow security analysis.

CodeQL Analysis is cataloged under Quality on DirSkills. CodeQL Analysis comes from a repository tagged ai-agents, anthropic, claude-code, code-review and codex.

Documentation

README

Excerpt

CodeQL Analysis

Supported languages: Python, JavaScript/TypeScript, Go, Java/Kotlin, C/C++, C#, Ruby, Swift.

Skill resources: Reference files and templates are located at references/ and workflows/.

Essential Principles

Database quality is non-negotiable. A database that builds is not automatically good. Always run quality assessment (file counts, baseline LoC, extractor errors) and compare against expected source files. A cached build produces zero useful extraction.
Data extensions catch what CodeQL misses. Even projects using standard frameworks (Django, Spring, Express) have custom wrappers around database calls, request parsing, or shell execution. Skipping the create-data-extensions workflow means missing vulnerabilities in project-specific code paths.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about CodeQL Analysis

What else does waybarrios publish alongside CodeQL Analysis?
CodeQL Analysis is one of 25 skills that DirSkills catalogs from waybarrios/opencode-power-pack, the repository it ships in. Its siblings there include AI Slop Rubric, AWS Context Discovery and Agentic Actions Auditor. Each one is a separate skill with its own page in this directory, installs the same way CodeQL Analysis does, and is maintained by waybarrios in that same repository. The rest of the collection is listed on the waybarrios/opencode-power-pack page.
How does CodeQL Analysis compare to other Quality skills?
CodeQL Analysis ranks #1260 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of CodeQL Analysis against them. Open each page to compare what they document and how they install.