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Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

afrexai-churn-analyzer

Churn Risk Analyzer Churn Risk Analyzer Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions. When to Use - Customer success reviews - Quarterly retention planning - When usage data or support ticket logs are available - Proactive outreach prioritization How It Works 1. Gather Data Ask the user for available data sources:

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

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

afrexai-churn-analyzer is best for ticket, tickets 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

Churn Risk Analyzer Churn Risk Analyzer Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions. When to Use - Customer success reviews - Quarterly retention planning - When usage data or support ticket logs are available - Proactive outreach prioritization How It Works 1. Gather Data Ask the user for available data sources: 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Unpublished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-churn-analyzer
  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

0

Snippets

0

Languages

typescript

Parameters

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

Churn Risk Analyzer Churn Risk Analyzer Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions. When to Use - Customer success reviews - Quarterly retention planning - When usage data or support ticket logs are available - Proactive outreach prioritization How It Works 1. Gather Data Ask the user for available data sources:

Full README

Churn Risk Analyzer

Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.

When to Use

  • Customer success reviews
  • Quarterly retention planning
  • When usage data or support ticket logs are available
  • Proactive outreach prioritization

How It Works

1. Gather Data

Ask the user for available data sources:

  • Usage metrics (logins, feature adoption, API calls)
  • Support tickets (frequency, sentiment, resolution time)
  • Billing history (downgrades, late payments, discount requests)
  • Engagement signals (email opens, meeting attendance, NPS scores)

If no structured data, work from what the user describes qualitatively.

2. Score Each Account

Apply this risk framework:

| Signal | Weight | High Risk Indicator | |--------|--------|-------------------| | Usage decline (30d) | 25% | >30% drop | | Support ticket spike | 20% | 2x+ above baseline | | Champion departure | 20% | Key contact left | | Contract timing | 15% | <90 days to renewal | | Payment behavior | 10% | Late/disputed invoices | | Engagement drop | 10% | No response to last 3 outreach |

Score: 0-100 (higher = more likely to churn)

3. Categorize

  • 🔴 Critical (75-100): Immediate intervention needed
  • 🟡 At Risk (50-74): Schedule check-in this week
  • 🟢 Healthy (25-49): Monitor monthly
  • 💚 Thriving (0-24): Expansion opportunity

4. Recommend Actions

For each at-risk account, suggest specific retention plays:

  • Executive sponsor call
  • Custom success plan
  • Feature training session
  • Pricing review / loyalty offer
  • Roadmap preview (show upcoming value)

5. Output

Generate a retention report with:

  • Ranked list of accounts by churn risk
  • Top 3 actions per critical account
  • Estimated revenue at risk
  • 30/60/90 day retention calendar

Integration Notes

  • Works with CSV exports, CRM data, or manual input
  • Pair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack)
  • For a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table

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-churn-analyzer/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/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-churn-analyzer/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T05:05:40.158Z"
    }
  },
  "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": "ticket",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "tickets",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:ticket|supported|profile capability:tickets|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-churn-analyzer",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/1kalin/afrexai-churn-analyzer",
    "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-churn-analyzer/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/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-churn-analyzer/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-1kalin-afrexai-churn-analyzer/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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