io.github.HZYAI/ragscore

MCPcommunity
v0.8.6io.github.HZYAIUnknownUpdated 1mo agoGitHub

Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.

Generate QA datasets & evaluate RAG systems in 2 commands 🔒 Privacy-First • ⚡ Lightning Fast • 🤖 Any LLM • 🏠 Local or Cloud • 🌍 Multilingual English | 中文 | 日本語 | Deutsch That's it. Get accuracy scores and incorrect QA pairs instantly. Already installed? Keep up to date — new versions add features like failure diagnosis and retrieved context capture: Perfect for Jupyter, Colab, and rapid…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.HZYAI
LicenseUnknown
Version0.8.6
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
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>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv0.8.7 · 19d 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

Generate QA datasets & evaluate RAG systems in 2 commands 🔒 Privacy-First • ⚡ Lightning Fast • 🤖 Any LLM • 🏠 Local or Cloud • 🌍 Multilingual English | 中文 | 日本語 | Deutsch That's it. Get accuracy scores and incorrect QA pairs instantly. Already installed? Keep up to date — new versions add features like failure diagnosis and retrieved context capture: Perfect for Jupyter, Colab, and rapid iteration. Get instant visualizations. ragscore generate confidentialdocs/*.pdf…

Keywords
mcp