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codeql

codeql is a skill for Claude Code from waybarrios/opencode-power-pack. It costs 42 tokens per session (3,429 once invoked), scanned A, original, MIT.

A workflow for using CodeQL, a tool that analyzes source code as data to find security problems, and its SARIF result files.

In plain words
What is it for?
Use it to create and assess CodeQL databases, run security queries for supported languages, add data-extension models, and process SARIF reports.
Why use it?
It helps avoid missed vulnerabilities caused by poor analysis databases, missing project-specific models, or incorrectly selected security queries.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; positional $N argument.

Part of the opencode-power-pack plugin — 55 skills shipped together

not rated 540repo +5 4d ago A scan SkillSpector: pass 42 tokens original MIT

Good fit Use it to create and assess CodeQL databases, run security queries for supported languages, add data-extension models, and process SARIF reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/waybarrios/opencode-power-pack/codeql
View source ↗ waybarrios/opencode-power-pack skills.waybarrios.com
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add waybarrios/opencode-power-pack --skill codeql
Clone the repo
git clone --depth 1 https://github.com/waybarrios/opencode-power-pack

Made for: Claude Code.

Or install opencode-power-pack, the plugin that ships this one along with the rest of its 55 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for codeql

README.md
[![agentmods](https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/codeql/github.svg)](https://agentmods.dev/skills/waybarrios/opencode-power-pack/codeql)
Your own site
<a href="https://agentmods.dev/skills/waybarrios/opencode-power-pack/codeql"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/codeql/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for codeql

Your own site · 80×15
<a href="https://agentmods.dev/skills/waybarrios/opencode-power-pack/codeql"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/codeql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,429 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.03429
Opus 5.5 $0.00017 $0.01372
Sonnet 5.5 $0.00008 $0.00686
Haiku 4.5 $0.00004 $0.00343

Measured 1mo ago against content hash a41eb8e977a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codeql scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

  • codeql — 92% identical, 24 lines differ
  • codeql — 89% identical, 14 lines differ
  • codeql — 89% identical, 12 lines differ
  • codeql — 89% identical, 12 lines differ
  • codeql — 89% identical, 12 lines differ
skills/codeql/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

  1. 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.

  2. 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.

  3. Explicit suite references prevent silent query dropping. Never pass pack names directly to codeql database analyze — each pack's defaultSuiteFile applies hidden filters that can produce zero results. Always generate a custom .qls suite file.

  4. Zero findings needs investigation, not celebration. Zero results can indicate poor database quality, missing models, wrong query packs, or silent suite filtering. Investigate before reporting clean.

  5. macOS Apple Silicon requires workarounds for compiled languages. Exit code 137 is arm64e/arm64 mismatch, not a build failure. Try Homebrew arm64 tools or Rosetta before falling back to build-mode=none.

  6. Follow workflows step by step. Once a workflow is selected, execute it step by step without skipping phases. Each phase gates the next — skipping quality assessment or data extensions leads to incomplete analysis.

Output Directory

All generated files (database, build logs, diagnostics, extensions, results) are stored in a single output directory.

  • If the user specifies an output directory in their prompt, use it as OUTPUT_DIR.
  • If not specified, default to ./static_analysis_codeql_1. If that already exists, increment to _2, _3, etc.

Read the full file on GitHub · 264 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 264 lines · 42 tokens per session scan A a41eb8e977a4

Subscribe to this mod's changes

codeql is a skill published in the GitHub repository waybarrios/opencode-power-pack (540 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 3,429 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeCode reviewSecurityai-agentsanthropicdeveloper-toolsllm-tools
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