MCPInstall

codeql

Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.

Installs
2K
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/github/awesome-copilot --skill codeql
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads codeql automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

CodeQL Code Scanning

This skill provides procedural guidance for configuring and running CodeQL code scanning — both through GitHub Actions workflows and the standalone CodeQL CLI.

When to Use This Skill

Use this skill when the request involves:

  • Creating or customizing a codeql.yml GitHub Actions workflow
  • Choosing between default setup and advanced setup for code scanning
  • Configuring CodeQL language matrix, build modes, or query suites
  • Running CodeQL CLI locally (codeql database create, database analyze, github upload-results)
  • Understanding or interpreting SARIF output from CodeQL
  • Troubleshooting CodeQL analysis failures (build modes, compiled languages, runner requirements)
  • Setting up CodeQL for monorepos with per-component scanning
  • Configuring dependency caching, custom query packs, or model packs

Supported Languages

CodeQL supports the following language identifiers:

LanguageIdentifierAlternatives
C/C++c-cppc, cpp
C#csharp—
Gogo—
Java/Kotlinjava-kotlinjava, kotlin
JavaScript/TypeScriptjavascript-typescriptjavascript, typescript
Pythonpython—
Rubyruby—
Rustrust—
Swiftswift—
GitHub Actionsactions—

Alternative identifiers are equivalent to the standard identifier (e.g., javascript does not exclude TypeScript analysis).

Core Workflow — GitHub Actions

Step 1: Choose Setup Type

  • Default setup — Enable from repository Settings → Advanced Security → CodeQL analysis. Best for getting started quickly. Uses none build mode for most languages.
  • Advanced setup — Create a .github/workflows/codeql.yml file for full control over triggers, build modes, query suites, and matrix strategies.

To switch from default to advanced: disable default setup first, then commit the workflow file.

Step 2: Configure Workflow Triggers

Define when scanning runs:

on:
  push:
    branches: [main, protected]
  pull_request:
    branches: [main]
  schedule:
    - cron: '30 6 * * 1'  # Weekly Monday 6:30 UTC
  • push — scans on every push to specified branches; results appear in Security tab
  • pull_request — scans PR merge commits; results appear as PR check annotations
  • schedule — periodic scans of the default branch (cron must exist on default branch)
  • merge_group — add if repository uses merge queues

To skip scans for documentation-only PRs:

on:
  pull_request:
    paths-ignore:
      - '**/*.md'
      - '**/*.txt'

paths-ignore controls whether the workflow runs, not which files are analyzed.

Step 3: Configure Permissions

Set least-privilege permissions:

permissions:
  security-events: write   # Required to upload SARIF results
  contents: read            # Required to checkout code
  actions: read             # Required for private repos using codeql-action

Step 4: Configure Language Matrix

Use a matrix strategy to analyze each language in parallel:

jobs:
  analyze:
    name: Analyze (${{ matrix.language }})
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        include:
          - language: javascript-typescript
            build-mode: none
          - language: python
            build-mode: none

For compiled languages, set the appropriate build-mode:

  • none — no build required (supported for C/C++, C#, Java, Rust)
  • autobuild — automatic build detection
  • manual — custom build commands (advanced setup only)

For detailed per-language autobuild behavior and runner requirements, search references/compiled-languages.md.

Step 5: Configure CodeQL Init and Analysis

steps:
  - name: Checkout repository
    uses: actions/checkout@v4

  - name: Initialize CodeQL
    uses: github/codeql-action/init@v4
    with:
      languages: ${{ matrix.language }}
      build-mode: ${{ matrix.build-mode }}
      queries: security-extended
      dependency-caching: true

  - name: Perform CodeQL Analysis
    uses: github/codeql-action/analyze@v4
    with:
      category: "/language:${{ matrix.language }}"

Query suite options:

  • security-extended — default security queries plus additional coverage
  • security-and-quality — security plus code quality queries
  • Custom query packs via packs: input (e.g., codeql/javascript-queries:AlertSuppression.ql)

Dependency caching: Set dependency-caching: true on the init action to cache restored dependencies across runs.

Analysis category: Use category to distinguish SARIF results in monorepos (e.g., per-language, per-component).

Step 6: Monorepo Configuration

For monorepos with multiple components, use the category parameter to separate SARIF results:

category: "/language:${{ matrix.language }}/component:frontend"

To restrict analysis to specific directories, use a CodeQL configuration file (.github/codeql/codeql-config.yml):

paths:
  - apps/
  - services/
paths-ignore:
  - node_modules/
  - '**/test/**'

Reference it in the workflow:

- uses: github/codeql-action/init@v4
  with:
    config-file: .github/codeql/codeql-config.yml

Step 7: Manual Build Steps (Compiled Languages)

If autobuild fails or custom build commands are needed:

- language: c-cpp
  build-mode: manual

Then add explicit build steps between init and analyze:

- if: matrix.build-mode == 'manual'
  name: Build
  run: |
    make bootstrap
    make release

Core Workflow — CodeQL CLI

Step 1: Install the CodeQL CLI

Download the CodeQL bundle (includes CLI + precompiled queries):

# Download from https://github.com/github/codeql-action/releases
# Extract and add to PATH
export PATH="$HOME/codeql:$PATH"

# Verify installation
codeql resolve packs
codeql resolve languages

Always use the CodeQL bundle, not a standalone CLI download. The bundle ensures query compatibility and provides precompiled queries for better performance.

Step 2: Create a CodeQL Database

# Single language
codeql database create codeql-db \
  --language=javascript-typescript \
  --source-root=src

# Multiple languages (cluster mode)
codeql database create codeql-dbs \
  --db-cluster \
  --language=java,python \
  --command=./build.sh \
  --source-root=src

For compiled languages, provide the build command via --command.

Step 3: Analyze the Database

codeql database analyze codeql-db \
  javascript-code-scanning.qls \
  --format=sarif-latest \
  --sarif-category=javascript \
  --output=results.sarif

Common query suites: <language>-code-scanning.qls, <language>-security-extended.qls, <language>-security-and-quality.qls.

Step 4: Upload Results to GitHub

codeql github upload-results \
  --repository=owner/repo \
  --ref=refs/heads/main \
  --commit=<commit-sha> \
  --sarif=results.sarif

Requires GITHUB_TOKEN environment variable with security-events: write permission.

CLI Server Mode

To avoid repeated JVM initialization when running multiple commands:

codeql execute cli-server

For detailed CLI command reference, search references/cli-commands.md.

Alert Management

Severity Levels

Alerts have two severity dimensions:

  • Standard severity: Error, Warning, Note
  • Security severity: Critical, High, Medium, Low (derived from CVSS scores; takes display precedence)

Copilot Autofix

GitHub Copilot Autofix generates fix suggestions for CodeQL alerts in pull requests automatically — no Copilot subscription required. Review suggestions carefully before committing.

Alert Triage in PRs

  • Alerts appear as check annotations on changed lines
  • Check fails by default for error/critical/high severity alerts
  • Configure merge protection rulesets to customize the threshold
  • Dismiss false positives with a documented reason for audit trail

For detailed alert management guidance, search references/alert-management.md.

Custom Queries and Packs

Using Custom Query Packs

- uses: github/codeql-action/init@v4
  with:
    packs: |
      my-org/my-security-queries@1.0.0
      codeql/javascript-queries:AlertSuppression.ql

Creating Custom Query Packs

Use the CodeQL CLI to create and publish packs:

# Initialize a new pack
codeql pack init my-org/my-queries

# Install dependencies
codeql pack install

# Publish to GitHub Container Registry
codeql pack publish

CodeQL Configuration File

For advanced query and path configuration, create .github/codeql/codeql-config.yml:

paths:
  - apps/
  - services/
paths-ignore:
  - '**/test/**'
  - node_modules/
queries:
  - uses: security-extended
packs:
  javascript-typescript:
    - my-org/my-custom-queries

Code Scanning Logs

Summary Metrics

Workflow logs include key metrics:

  • Lines of code in codebase — baseline before extraction
  • Lines extracted — including external libraries and auto-generated files
  • Extraction errors/warnings — files that failed or produced warnings during extraction

Debug Logging

To enable detailed diagnostics:

  • GitHub Actions: re-run the workflow with "Enable debug logging" checked
  • CodeQL CLI: use --verbosity=progress++ and --logdir=codeql-logs

Troubleshooting

Common Issues

ProblemSolution
Workflow not triggeringVerify on: triggers match event; check paths/branches filters; ensure workflow exists on target branch
Resource not accessible errorAdd security-events: write and contents: read permissions
Autobuild failureSwitch to build-mode: manual and add explicit build commands
No source code seenVerify --source-root, build command, and language identifier
C# compiler failureCheck for /p:EmitCompilerGeneratedFiles=true conflicts with .sqlproj or legacy projects
Fewer lines scanned than expectedSwitch from none to autobuild/manual; verify build compiles all source
Kotlin in no-build modeDisable and re-enable default setup to switch to autobuild
Cache miss every runVerify dependency-caching: true on init action
Out of disk/memoryUse larger runners; reduce analysis scope via paths config; use build-mode: none
SARIF upload failsEnsure token has security-events: write; check 10 MB file size limit
SARIF results exceed limitsSplit across multiple uploads with different --sarif-category; reduce query scope
Two CodeQL workflowsDisable default setup if using advanced setup, or remove old workflow file
Slow analysisEnable dependency caching; use --threads=0; reduce query suite scope

For comprehensive troubleshooting with detailed solutions, search references/troubleshooting.md.

Hardware Requirements (Self-Hosted Runners)

Codebase SizeRAMCPU
Small (<100K LOC)8 GB+2 cores
Medium (100K–1M LOC)16 GB+4–8 cores
Large (>1M LOC)64 GB+8 cores

All sizes: SSD with ≥14 GB free disk space.

Action Versioning

Pin CodeQL actions to a specific major version:

uses: github/codeql-action/init@v4      # Recommended
uses: github/codeql-action/autobuild@v4
uses: github/codeql-action/analyze@v4

For maximum security, pin to a full commit SHA instead of a version tag.

Reference Files

For detailed documentation, load the following reference files as needed:

  • references/workflow-configuration.md — Full workflow trigger, runner, and configuration options
    • Search patterns: trigger, schedule, paths-ignore, db-location, model packs, alert severity, merge protection, concurrency, config file
  • references/cli-commands.md — Complete CodeQL CLI command reference
    • Search patterns: database create, database analyze, upload-results, resolve packs, cli-server, installation, CI integration
  • references/sarif-output.md — SARIF v2.1.0 object model, upload limits, and third-party support
    • Search patterns: sarifLog, result, location, region, codeFlow, fingerprint, suppression, upload limits, third-party, precision, security-severity
  • references/compiled-languages.md — Build modes and autobuild behavior per language
    • Search patterns: C/C++, C#, Java, Go, Rust, Swift, autobuild, build-mode, hardware, dependency caching
  • references/troubleshooting.md — Comprehensive error diagnosis and resolution
    • Search patterns: no source code, out of disk, out of memory, 403, C# compiler, analysis too long, fewer lines, Kotlin, extraction errors, debug logging, SARIF upload, SARIF limits
  • references/alert-management.md — Alert severity, triage, Copilot Autofix, and dismissal
    • Search patterns: severity, security severity, CVSS, Copilot Autofix, dismiss, triage, PR alerts, data flow, merge protection, REST API

FAQ

What does the codeql skill do?

Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.

How do I install codeql?

Run npx skills add https://github.com/github/awesome-copilot --skill codeql in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/codeql/ (personal) or .claude/skills/codeql/ (project).

Which AI agents can use codeql?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is codeql safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains codeql?

It is published by github in github/awesome-copilot, and it is an official skill from the maker of the technology it covers. It has 1,980 recorded installs.

More from github/awesome-copilot

View all →

git-commit

github/awesome-copilot

Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.

OfficialCode Quality & Workflow47.4K installs

excalidraw-diagram-generator

github/awesome-copilot

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

OfficialDocs & Writing31.9K installs

multi-stage-dockerfile

github/awesome-copilot

Create optimized multi-stage Dockerfiles for any language or framework

Official29.8K installs

documentation-writer

github/awesome-copilot

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.

OfficialDocs & Writing27.9K installs

prd

github/awesome-copilot

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Official24.1K installs

refactor

github/awesome-copilot

Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.

OfficialCode Quality & Workflow22.4K installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs