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Skill evidence / keycloak-administration
Skill profile

keycloak-administration

Provides comprehensive KeyCloak administration guidance including realm management.

What this skill does for you

Provides comprehensive KeyCloak administration guidance including realm management, user/group administration, client configuration, authentication flows, identity brokering, authorization policies, security hardening, and troubleshooting. Covers SSO configuration, SAML/OIDC setup, role-based access control (RBAC), user federation (LDAP/AD), social login integration, multi-factor authentication (MFA), and high availability deployments. Use when configuring KeyCloak, setting up SSO, managing realms and clients, troubleshooting authentication issues, implementing RBAC, or when users mention "KeyCloak", "SSO", "OIDC", "SAML", "identity provider", "IAM", "authentication flow", "user federation", "realm configuration", or "access management".

Quoted from the skill description in the pinned source

Who made it

Publisherdauquangthanh
Repositoryhanoi-rainbow
Installs297as 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 keycloak-administration skill from dauquangthanh/hanoi-rainbow.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: 0e2ebaea024ad494bfd39cba73effa61a9c978cf. 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: 0e2ebaea024ad494bfd39cba73effa61a9c978cf. 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: 0e2ebaea024ad494bfd39cba73effa61a9c978cf. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/dauquangthanh/hanoi-rainbow
Pinned skill file
View source at revision
Revision
0e2ebaea024ad494bfd39cba73effa61a9c978cf
Package hash
sha256:7a2b4926fbf40cb68238d3735c0100b8a396bfd99ff5d9914d6dad55af2bd49f
Licence
MIT