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Self-hosted alternatives to codeql

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About codeql

C

codeql

Comprehensive guide for setting up and configuring CodeQL code scanning

codeql is an agent skill from the github/awesome-copilot collection, a procedural guide for setting up and running CodeQL code scanning, both through GitHub Actions workflows and with the standalone CodeQL CLI. CodeQL finds security vulnerabilities by querying code as data. The skill covers creating or customizing a codeql.yml workflow, choosing between the default setup and the advanced setup for code scanning, and configuring the language matrix, the build modes and the query suites. It explains running the CLI locally, creating a database, analyzing it and uploading results, and it helps interpret SARIF output, the standard format CodeQL results come in. It also covers troubleshooting analysis failures, especially build modes and compiled languages, along with runner requirements, setting up CodeQL for monorepos with per-component scanning, and configuring dependency caching, custom query packs and model packs. The skill is useful for teams who want code scanning in their pipeline and need the right configuration for their languages. Compiled languages often need a working build during analysis, so the build step must be set up correctly. Scanning results should be triaged by people who understand the code, since some findings are false positives. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 2.0K installs and passing results from three security audits at the time of the scan.

View codeqlAll AI Skills apps
Price
Free
Made by
github
Category
AI Skills
Website
github.com/github/awesome-copilot/codeql