metabase-embedding-sso-implementation

Implements JWT SSO authentication for Metabase embedding in a project.

What this skill does for you

Implements JWT SSO authentication for Metabase embedding in a project. Supports all embedding types that use SSO : Modular embedding (embed.js web components), Modular embedding SDK (@metabase/embedding-sdk-react), and Full app embedding (iframe-based). Creates the JWT signing endpoint, configures the frontend auth layer, and sets up group mappings. Use when the user wants to add SSO/JWT auth to their Metabase embedding, implement user identity for embedded analytics, set up JWT authentication for Metabase, or connect their app's authentication to Metabase embedding.

Quoted from the skill description in the pinned source

Who made it

Publishermetabase

Repositoryagent-skills

Installs336as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the metabase-embedding-sso-implementation skill from metabase/agent-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: d7f63e805499f8087de5f8739c70e0841c576e19. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: d7f63e805499f8087de5f8739c70e0841c576e19. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: d7f63e805499f8087de5f8739c70e0841c576e19. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/metabase/agent-skills
Pinned skill file: View source at revision
Revision: d7f63e805499f8087de5f8739c70e0841c576e19
Package hash: sha256:01e6ca1a1f09153332d9a86f7c1df15e49920124b54027424327a49d9f575b77
Licence: MIT