io.github.teabagkim/interview-mode

MCPcommunity
v0.5.1io.github.teabagkimUnknownUpdated 4mo agonpmGitHub

Structured interviewer for Claude Code — probing questions, decision tracking, evolving checkpoints.

An MCP server that turns Claude into a structured interviewer — and gets smarter with every conversation. Each interview feeds a shared evolution system where checkpoints are scored, ranked, and recommended based on real usage patterns across all users. This isn't just an interview tool. It's a collectively evolving knowledge system. Every time anyone runs an interview in a category (e.g.,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.teabagkim
LicenseUnknown
Version0.5.1
Sourcemcp-registry
npmclaude-interview-mode
GitHubteabagkim/claude-interview-mode
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—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface4 tools · none privileged
Security scan✓ Cleanv0.5.3 · 20d 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 server that turns Claude into a structured interviewer — and gets smarter with every conversation. Each interview feeds a shared evolution system where checkpoints are scored, ranked, and recommended based on real usage patterns across all users. This isn't just an interview tool. It's a collectively evolving knowledge system. Every time anyone runs an interview in a category (e.g., "saas-pricing"), the system learns: 1. Checkpoint Discovery — When a decision is made during an interview,…

Keywords
mcp