import { SecureChannel } from "@agentvault/agentvault";

const channel = new SecureChannel({
  inviteToken: "av_inv_...",
  apiUrl: "https://api.agentvault.chat",
  dataDir: "./agentvault-data",
  onMessage: (plaintext, metadata) => {
    console.log(`[${metadata.conversationId}] ${plaintext}`);
  },
});

await channel.start();

import { sendToOwner } from "@agentvault/agentvault";

await sendToOwner("Task completed!", { port: 18790 });

import { deliver } from "@agentvault/agentvault";

await deliver(channel, "Report ready", { target: "room", roomId: "room_uuid" });
await deliver(channel, "Analysis done", { target: "a2a", hubAddress: "cortina" });

// Decision request (human-in-the-loop)
const decisionId = await channel.sendDecisionRequest({
  title: "Deploy to production?",
  options: [
    { option_id: "approve", label: "Approve", risk_level: "medium" },
    { option_id: "deny", label: "Deny", risk_level: "low" },
  ],
  deadline: "2026-03-19T18:00:00Z",
});

// Status alert
await channel.sendStatusAlert({
  title: "Build Complete",
  message: "All 847 tests passed",
  severity: "info",
});

// Artifact share
await channel.sendArtifact({
  type: "code",
  title: "Generated API client",
  content: "export class ApiClient { ... }",
  format: "typescript",
});

---
name: code-review
version: 1.0.0
description: Automated code review with security analysis
agentVault:
  certification: certified
  requiredPolicies:
    - "network: agentvault"
  runtime:
    capabilities: [file_read, api_call]
    forbidden: [process_spawn, network_raw]
  model:
    allowed: [gpt-4, claude-3-opus]
    default: gpt-4
---

# Code Review Skill

This skill performs automated code review...

import { loadSkillsFromDirectory } from "@agentvault/agentvault";
const skills = await loadSkillsFromDirectory("./skills");

import { AgentVaultMcpServer } from "@agentvault/agentvault";

const mcp = new AgentVaultMcpServer(channel);
// Skills loaded from SKILL.md are automatically registered as MCP tools

import { PolicyEnforcer } from "@agentvault/agentvault";

const enforcer = new PolicyEnforcer(channel);
const result = await enforcer.check({
  skillName: "code-review",
  toolName: "file_read",
  model: "gpt-4",
});
// { allowed: true } or { allowed: false, violations: [...] }

const ctx = channel.telemetry;
if (ctx) {
  ctx.reportLlm({ model: "gpt-4", promptTokens: 1200, completionTokens: 350, latencyMs: 2400 });
  ctx.reportTool({ toolName: "web_search", latencyMs: 800 });
}