io.github.vighriday/veris

MCPcommunity
v2.1.8io.github.vighridayUnknownUpdated 1mo agonpmGitHub

Behavioral verification intelligence for AI coding agents. 17 MCP tools. Local-first. MIT.

Behavioral Verification Infrastructure for autonomous coding agents. Veris is the verification intelligence layer that sits between AI coding agents and production reliability. It does not run your tests. It tells any MCP-compatible coding agent or CI pipeline what behaviors are at risk, what to verify, and how confident the result actually is — backed by a behavioral graph, semantic workflow…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.vighriday
LicenseUnknown
Version2.1.8
Sourcemcp-registry
npmveris-core
GitHubvighriday/Veris
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 surface17 tools · 1 privileged
Security scan✓ Cleanv2.1.8 · 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

Behavioral Verification Infrastructure for autonomous coding agents. Veris is the verification intelligence layer that sits between AI coding agents and production reliability. It does not run your tests. It tells any MCP-compatible coding agent or CI pipeline what behaviors are at risk, what to verify, and how confident the result actually is — backed by a behavioral graph, semantic workflow grouping, persistent run history, drift detection, and explainable confidence math. Works with any MCP…

Keywords
mcp