ai-federated-learning
Implements federated learning architecture patterns for GDPR compliance.
Testing what is locked and what isn’t
What it does
Federated learning (FL) is a distributed machine learning approach that trains models across multiple data holders without centralising personal data.
Read more
Instead of collecting training data into a central repository, federated learning sends the model to the data, computes local updates on each participant's device or server, and aggregates only model updates (gradients or weights) at a central coordinator. This architecture directly addresses GDPR data minimisation (Art. 5(1)(c)) and data protection by design (Art. 25) principles by eliminating the need to transfer and centralise personal data for AI training. However, federated learning is not a privacy silver bullet — it introduces its own privacy risks that must be managed through complementary techniques.
What it can touch
Includes 1 script
Your AI can run these when the skill is used — on your computer in a coding tool (which asks first unless you have told it not to), or in the AI’s own sandbox in Claude and ChatGPT.
How we know
Found in the skill’s folder: scripts/process.py.
No known risk pattern found
Launch7’s automated check read all 5 text files in this skill and matched none of its risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-05, commit 2a76bf4 by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Recently maintained
Its repository has had changes recently.
How we know
Last push to onfire7777/universal-ai-skills-library: 2026-09-11 (24 days before the scan).
Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Partly. Upload it in Claude’s settings — the instructions work; the scripts need the full folder.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
This skill ships 1 script beside its instructions. The download here is the SKILL.md alone — enough for the instructions, not for the parts that run code. Use the command route, or take the full folder from the repository.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
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