Open source alternatives to codeql
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About codeql
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.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/codeql