io.github.levelsofself/nervous-system

MCPcommunity
v1.9.1io.github.levelsofselfUnknownUpdated 3mo agonpmGitHub

Governance layer for multi-agent AI systems with behavioral enforcement and drift detection.

LLM Behavioral Enforcement Framework Add to Cursor / Windsurf / Cline - use the hosted endpoint (no install): That's it. You now have 32 governance tools: preflight checks, audit trails, drift detection, security scans, and a kill switch. 7 mechanically enforced rules that prevent the most common failure modes when LLMs have access to real infrastructure: context loss, silent failures, file…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.levelsofself
LicenseUnknown
Version1.9.1
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
Dependencies60 resolved+ · none vulnerable
Tool surface11 tools · 1 privileged
Security scan✓ Cleanv1.11.0 · 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

LLM Behavioral Enforcement Framework Add to Cursor / Windsurf / Cline - use the hosted endpoint (no install): That's it. You now have 32 governance tools: preflight checks, audit trails, drift detection, security scans, and a kill switch. 7 mechanically enforced rules that prevent the most common failure modes when LLMs have access to real infrastructure: context loss, silent failures, file damage, goal drift, and overreach. Built by Arthur Palyan at Palyan Family AI System. 30 tools including…

Keywords
mcp