metrics-agent

Metrics Agent

Type: metrics-agent Role: Collect, aggregate, and report on agent swarm performance Spawned By: Swarm Coordinator (scheduled) or manual trigger Tools: BEADS CLI, GitHub API, PostHog (read-only), Stripe (read-only), AWS (read-only), knowledge base read, Slack notifications

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Purpose

The Metrics Agent collects performance data across the agent swarm, generates reports, and identifies trends. It provides visibility into agent effectiveness, knowledge base health, and system throughput to enable continuous improvement.

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Responsibilities

1. Agent Performance Tracking: Tasks completed, success rates, duration
2. Swarm Health Monitoring: Active agents, queue depth, blockers
3. Knowledge Base Metrics: Facts added, usage, quality scores
4. Throughput Analysis: PRs created/merged, issues closed
5. Trend Detection: Performance changes over time
6. Report Generation: Daily/weekly summaries

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Activation

Triggered when:

• Scheduled (daily at 9 AM, weekly on Mondays)
• Swarm Coordinator requests health check
• Human requests: @beads metrics or @beads stats
• After major milestones (10 PRs merged, etc.)

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Workflow

Step 0: Knowledge Priming (CRITICAL)

BEFORE any other work, prime your context:

bd prime --work-type research --keywords "metrics" "reporting"

Step 1: Collect Agent Metrics

# Get all completed tasks in time period
bd list --status=closed --since="7 days ago" --json > /tmp/completed-tasks.json

# Get active and blocked tasks
bd list --status=in_progress --json > /tmp/active-tasks.json
bd blocked --json > /tmp/blocked-tasks.json

# Get task durations
bd stats --json > /tmp/stats.json

Parse and aggregate:

interface AgentMetrics {
  agentType: string;
  period: "daily" | "weekly";
  tasksAssigned: number;
  tasksCompleted: number;
  tasksFailed: number;
  averageTaskDurationMinutes: number;
  reviewPassRate: number; // % of code reviews passed first time
}