io.github.KevinRabun/judges

MCPattested
v3.129.9io.github.KevinRabunUnknownUpdated 4mo agonpmGitHub

45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.

An MCP (Model Context Protocol) server that provides a panel of 45 specialized judges to evaluate AI-generated code — acting as an independent quality gate regardless of which project is being reviewed. Combines deterministic pattern matching & AST analysis (instant, offline, zero LLM calls) with LLM-powered deep-review prompts that let your AI assistant perform expert-persona analysis across all…

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
4mo agoLast update
Package
Authorio.github.KevinRabun
LicenseUnknown
Version3.129.9
Sourcemcp-registry
Trust Status
A
85/100Trusted
Listed in Forge index+10/10
Identity verified · attested build+20/20
Ed25519 publish signature+0/5
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
npm Trusted Publishing (Sigstore)+5/5
npm maintainer match+0/5
Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain
Provenance✓ Sigstore-verified · 8432a66
Dependencies60 resolved+ · none vulnerable
Tool surface12 tools · 6 privileged
Security scan✓ Cleanv3.129.9 · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

An MCP (Model Context Protocol) server that provides a panel of 45 specialized judges to evaluate AI-generated code — acting as an independent quality gate regardless of which project is being reviewed. Combines deterministic pattern matching & AST analysis (instant, offline, zero LLM calls) with LLM-powered deep-review prompts that let your AI assistant perform expert-persona analysis across all 45 domains. Includes an App Builder Workflow (3-step) demo for release decisions, plain-language…

Keywords
mcp