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Agent Observability & Monitoring

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

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SKILL.md (original)

Review the instructions the agent will receive before you install.

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

ScoreRatingAction
80-100Production-gradeOptimize and scale
60-79OperationalFix gaps before scaling
40-59RiskyImmediate remediation needed
0-39BlindStop 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 SizeUnmonitored WasteMonitoring InvestmentNet 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

IndustryCritical DimensionWhy
Financial ServicesSecurity & BoundariesRegulatory audit trails mandatory
HealthcareOutput QualityClinical accuracy non-negotiable
LegalExecution VisibilityBilling requires task-level tracking
EcommerceCost AttributionMargin-sensitive, waste kills profit
SaaSFleet CoordinationMulti-tenant agent isolation
ManufacturingFailure RecoveryDowntime = production line stops
ConstructionSecurity & BoundariesSafety-critical document handling
Real EstateOutput QualityValuation errors = liability
RecruitmentFleet CoordinationCandidate pipeline handoffs
Professional ServicesCost AttributionClient billing accuracy

Go Deeper

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

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