io.github.denial-web/agent-immune

MCPcommunity
v0.2.2io.github.denial-webUnknownUpdated 4mo agoGitHub

AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening

Adaptive threat intelligence for AI agent security: semantic memory, multi-turn escalation, output scanning, rate limiting, and prompt hardening — designed to complement deterministic governance stacks (e.g. Microsoft Agent OS), not replace them. The immune system that governance toolkits don't include: it learns from incidents and catches rephrased attacks that slip past static rules. Run for…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.denial-web
LicenseUnknown
Version0.2.2
Sourcemcp-registry
GitHubdenial-web/agent-immune
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—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.2.2 · 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

Adaptive threat intelligence for AI agent security: semantic memory, multi-turn escalation, output scanning, rate limiting, and prompt hardening — designed to complement deterministic governance stacks (e.g. Microsoft Agent OS), not replace them. The immune system that governance toolkits don't include: it learns from incidents and catches rephrased attacks that slip past static rules. Run for the full interactive demo. Python 3.9+ required; 3.11+ recommended. The MCP stack targets Python 3.10+…

Keywords
mcp