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Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

afrexai-agent-observability

Agent Observability & Monitoring 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

OpenClaw · self-declared
Trust evidence available
clawhub skill install skills:1kalin:afrexai-agent-observability

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

afrexai-agent-observability is best for you workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

Agent Observability & Monitoring 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 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:1kalin:afrexai-agent-observability
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

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?

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Agent Observability & Monitoring 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

Full README

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.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T02:43:51.795Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "you",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:you|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-agent-observability",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-agent-observability",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-agent-observability/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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