io.github.mdfifty50-boop/agent-security

MCPcommunity
v0.1.3io.github.mdfifty50-boopUnknownUpdated 3mo agonpmGitHub

Security scanning and threat detection for AI agents

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows. Built on the Model Context Protocol (MCP). ------|-------------| | Scan MCP server configurations for security issues (dangerous commands, exposed secrets, network exposure, container misconfigs) | | Analyze text for prompt injection attempts across 7 attack categories with…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.mdfifty50-boop
LicenseUnknown
Version0.1.3
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
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)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface18 tools · none privileged
Security scan✓ Cleanv0.1.3 · 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

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows. Built on the Model Context Protocol (MCP). ------|-------------| | Scan MCP server configurations for security issues (dangerous commands, exposed secrets, network exposure, container misconfigs) | | Analyze text for prompt injection attempts across 7 attack categories with context-aware risk scoring | | Check if agent actions comply with scope contracts (tool allowlists,…

Keywords
mcp