Open source alternatives to gdpr-compliant
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 gdpr-compliant
gdpr-compliant
Apply GDPR-compliant engineering practices across your codebase
gdpr-compliant is an agent skill from the github/awesome-copilot collection that brings GDPR-compliant engineering practices into the codebase. It is a reference for engineers, architects, DevOps staff and tech leads, based on the principles in Article 5 of the regulation and on guidance from the French data protection authority CNIL, with related articles on design, security, breach notification and impact assessment. Its golden rule is to collect less, store less, expose less and retain less. The skill is used when designing APIs, writing data models, building authentication, and making any decision about what personal data a system handles. It points to three deeper references: one on user rights endpoints, the data subject request workflow and the record of processing activities; one on security, covering encryption, hashing, secrets and anonymization; and one on operations, covering cloud, CI/CD, incident response and architecture patterns. It is useful for developers who need practical rules at the point they write code. Engineering practices support compliance but do not establish it on their own, so an organization's privacy and legal teams should decide what the law requires for its data, and this guidance should be checked against that advice. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 1.6K 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/gdpr-compliant