com.undercurrentholdings/aegis

MCPcommunity
v1.3.1com.undercurrentholdingsUnknownUpdated 22d agoGitHub

Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.

Quantitative governance for AI agents and engineering decisions. AEGIS evaluates proposals through six quantitative gates — Risk, Profit, Novelty, Complexity, Quality, Utility — and returns a structured decision ( / / / ) with confidence scores, rationale, and a hash-chained audit trail. Give your agent a decision gate it can call before it acts — and an audit record compliance can actually read…

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22d agoLast update
Package
Authorcom.undercurrentholdings
LicenseUnknown
Version1.3.1
Sourcemcp-registry
GitHubundercurrentai/aegis-mcp
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✓ Cleanv1.3.1 · 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

Quantitative governance for AI agents and engineering decisions. AEGIS evaluates proposals through six quantitative gates — Risk, Profit, Novelty, Complexity, Quality, Utility — and returns a structured decision ( / / / ) with confidence scores, rationale, and a hash-chained audit trail. Give your agent a decision gate it can call before it acts — and an audit record compliance can actually read (NIST AI RMF, EU AI Act Annex IV). Works immediately, no signup: the local server runs in sandbox…

Keywords
mcp