SchemaBrain

Why this score

1 public GitHub projects have this in their committed setup (counted 2026-10-07). That counts people who kept it, not people who starred it. Private projects aren't visible, so the real number is higher.

Popularity score: 52/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Nov 4, 2026 at the PyPI package schemabrain@0.6.0, with Cisco's open-source skill-scanner.

What its code does:

• Reads environment variables and sends network requests with them API clients do this to send your key to the service. Check which service it talks to.
• Runs code it builds while running (eval or exec) Harder to read ahead of time, since the code is assembled while it runs.schemabrain/dashboard/static/_next/static/chunks/polyfills-42372ed130431b0a.js:1, schemabrain/dashboard/static/_next/static/chunks/webpack-b03968b0c512f2fb.js:1

Web addresses in its code:

• console.anthropic.comschemabrain/cli.py:2858
• status.anthropic.comschemabrain/errors_render.py:323
• codeium.comschemabrain/setup/init_flow.py:661
• cursor.comschemabrain/setup/init_flow.py:646
• docker.comschemabrain/setup/setup_stage.py:153
• no-color.orgschemabrain/_ui.py:241
• raw.githubusercontent.comschemabrain/mcp/server.py:154
• schemabrain.mintlify.appschemabrain/cli.py:789

These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Other makers' add-ons that do the same job, next to this one.