afrexai-agent-observability

by 1kalin

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SKILL.md About

# Agent Observability & Monitoring

Score, monitor, and troubleshoot AI agent fleets in production. Built for ops teams running 1-100+ agents.

## What This Does

Evaluates your agent deployment across 6 dimensions and returns a 0-100 health score with specific fixes.

## 6-Dimension Assessment

### 1. Execution Visibility (0-20 pts)
- Can you see what every agent is doing right now?
- Task queue depth, active/idle ratio, error rates
- **Benchmark**: Top quartile tracks 95%+ of agent actions in real-time

### 2. Cost Attribution (0-20 pts)
- Do you know exactly what each agent costs per task?
- Token spend, API calls, compute time, tool invocations
- **Benchmark**: Unmonitored agents waste 30-55% on retries and hallucination loops

### 3. Output Quality (0-15 pts)
- Are agent outputs validated before reaching users or systems?
- Accuracy sampling, hallucination detection, regression tracking
- **Benchmark**: 1 in 12 agent outputs contains a material error without monitoring

### 4. Failure Recovery (0-15 pts)
- What happens when an agent fails mid-task?
- Retry logic, graceful degradation, human escalation paths
- **Benchmark**: Mean time to detect agent failure without monitoring: 4.2 hours

### 5. Security & Boundaries (0-15 pts)
- Are agents staying within authorized scope?
- Tool access auditing, data exfiltration checks, permission drift
- **Benchmark**: 23% of production agents access tools outside their intended scope

### 6. Fleet Coordination (0-15 pts)
- Do multi-agent workflows hand off cleanly?
- Message passing reliability, deadlock detection, duplicate work
- **Benchmark**: Uncoordinated fleets duplicate 18-25% of work

## Scoring

| Score | Rating | Action |
|-------|--------|--------|
| 80-100 | Production-grade | Optimize and scale |
| 60-79 | Operational | Fix gaps before scaling |
| 40-59 | Risky | Immediate remediation needed |
| 0-39 | Blind | Stop scaling, instrument first |

## Quick Assessment Prompt

Ask the agent to evaluate your setup:

```
Run the agent observability assessment against our current deployment:
- How many agents are running?
- What monitoring exists today?
- What broke in the last 30 days?
- What's our monthly agent spend?
- Who gets alerted when an agent fails?
```

## Cost Framework

| Company Size | Unmonitored Waste | Monitoring Investment | Net Savings |
|-------------|-------------------|----------------------|-------------|
| 1-5 agents | $2K-$8K/mo | $500-$1K/mo | $1.5K-$7K/mo |
| 5-20 agents | $8K-$45K/mo | $2K-$5K/mo | $6K-$40K/mo |
| 20-100 agents | $45K-$200K/mo | $8K-$20K/mo | $37K-$180K/mo |

## 90-Day Monitoring Roadmap

**Week 1-2**: Inventory all agents, document intended scope, tag cost centers
**Week 3-4**: Deploy execution logging (every tool call, every output)
**Month 2**: Build dashboards — cost per task, error rate, latency P95
**Month 3**: Automated alerting — failure detection <5 min, cost anomaly flags, scope violations

## 7 Monitoring Mistakes

1. Logging only errors (miss the slow degradation)
2. No cost attribution (agents burn budget invisibly)
3. Monitoring agents like servers (they need task-level observability)
4. Manual review of agent outputs (doesn't scale past 3 agents)
5. No baseline metrics (can't detect regression without a baseline)
6. Alerting on everything (alert fatigue kills response time)
7. Skipping agent-to-agent handoff monitoring (where most fleet failures happen)

## Industry Adjustments

| Industry | Critical Dimension | Why |
|----------|-------------------|-----|
| Financial Services | Security & Boundaries | Regulatory audit trails mandatory |
| Healthcare | Output Quality | Clinical accuracy non-negotiable |
| Legal | Execution Visibility | Billing requires task-level tracking |
| Ecommerce | Cost Attribution | Margin-sensitive, waste kills profit |
| SaaS | Fleet Coordination | Multi-tenant agent isolation |
| Manufacturing | Failure Recovery | Downtime = production line stops |
| Construction | Security & Boundaries | Safety-critical document handling |
| Real Estate | Output Quality | Valuation errors = liability |
| Recruitment | Fleet Coordination | Candidate pipeline handoffs |
| Professional Services | Cost Attribution | Client billing accuracy |

---

## Go Deeper

- **AI Agent Context Packs** — industry-specific decision frameworks: https://afrexai-cto.github.io/context-packs/
- **AI Revenue Leak Calculator** — find where your business loses money to manual processes: https://afrexai-cto.github.io/ai-revenue-calculator/
- **Agent Setup Wizard** — configure your agent stack in 5 minutes: https://afrexai-cto.github.io/agent-setup/

Built by AfrexAI — we help businesses run AI agents that actually make money.

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