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Afrexai Insurance Claims

Insurance Claims Processor

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-insurance-claims

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Insurance Claims Processor

Process, analyze, and optimize insurance claims. Covers property, liability, workers' comp, auto, and professional indemnity.

What This Does

Takes raw claim details and produces:

  • Structured claim summary with policy coverage mapping
  • Liability assessment with supporting/weakening factors
  • Reserve estimate with confidence range
  • Subrogation opportunity analysis
  • Red flag detection (fraud indicators, coverage gaps)
  • Settlement recommendation with negotiation range
  • Regulatory compliance checklist by jurisdiction

Usage

Provide claim details in any format — adjuster notes, policyholder statement, incident report, photos, or free text. The agent structures everything.

Quick Claim Analysis
Analyze this claim: [paste details]
Full Processing
Process claim for:
- Policy type: [commercial general liability / property / WC / auto / PI]
- Incident date: [date]
- Reported date: [date]
- Claimant: [name/entity]
- Description: [what happened]
- Claimed amount: [if known]
- Policy limits: [if known]
- Jurisdiction: [state/country]

Claim Analysis Framework

1. Coverage Determination
  • Map incident to policy provisions
  • Identify applicable endorsements and exclusions
  • Flag coverage disputes early
  • Check occurrence vs claims-made triggers
2. Liability Assessment

Score 1-10 on insured liability exposure:

  • 1-3: Strong defense position, deny or minimal settlement
  • 4-6: Mixed liability, negotiate
  • 7-10: Clear insured liability, reserve and settle

Factors evaluated:

  • Comparative/contributory negligence (jurisdiction-specific)
  • Statutory obligations
  • Contractual indemnity provisions
  • Prior loss history pattern
3. Reserve Estimation

Three-point estimate:

  • Low: Best case with strong defense
  • Mid: Most likely outcome
  • High: Worst case including litigation costs

Include:

  • Indemnity reserve
  • Defense costs (inside/outside limits)
  • Allocated loss adjustment expense...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-insurance-claims
Version
—
Commit
0fc37cc5045effdd21b486f6351141a58cb668f9
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Insurance Claims Processor

Turn raw claim data into structured analysis with liability scoring, reserve estimates, fraud detection, and settlement strategy.

Covers property, liability, workers' comp, auto, and professional indemnity claims across US and UK jurisdictions.

Install

clawhub install afrexai-insurance-claims

What You Get

  • Coverage mapping — matches incidents to policy provisions, endorsements, exclusions
  • Liability scoring — 1-10 scale with comparative negligence analysis
  • Reserve estimates — three-point (low/mid/high) with ALAE/ULAE breakdown
  • Fraud detection — pattern-based red flag scoring
  • Subrogation analysis — recovery potential and cost-benefit
  • Settlement strategy — opening position, authority range, mediation vs litigation
  • Compliance timeline — jurisdiction-specific deadlines and bad faith triggers

Who This Is For

  • Claims adjusters processing high volume
  • Insurance operations managers automating triage
  • Risk managers handling self-insured retentions
  • TPAs standardizing claim handling procedures
  • InsurTech teams building claims automation

More From AfrexAI

Extracted content

SKILL.md
# Insurance Claims Processor

Process, analyze, and optimize insurance claims. Covers property, liability, workers' comp, auto, and professional indemnity.

## What This Does

Takes raw claim details and produces:
- Structured claim summary with policy coverage mapping
- Liability assessment with supporting/weakening factors
- Reserve estimate with confidence range
- Subrogation opportunity analysis
- Red flag detection (fraud indicators, coverage gaps)
- Settlement recommendation with negotiation range
- Regulatory compliance checklist by jurisdiction

## Usage

Provide claim details in any format — adjuster notes, policyholder statement, incident report, photos, or free text. The agent structures everything.

### Quick Claim Analysis
```
Analyze this claim: [paste details]
```

### Full Processing
```
Process claim for:
- Policy type: [commercial general liability / property / WC / auto / PI]
- Incident date: [date]
- Reported date: [date]
- Claimant: [name/entity]
- Description: [what happened]
- Claimed amount: [if known]
- Policy limits: [if known]
- Jurisdiction: [state/country]
```

## Claim Analysis Framework

### 1. Coverage Determination
- Map incident to policy provisions
- Identify applicable endorsements and exclusions
- Flag coverage disputes early
- Check occurrence vs claims-made triggers

### 2. Liability Assessment
Score 1-10 on insured liability exposure:
- **1-3**: Strong defense position, deny or minimal settlement
- **4-6**: Mixed liability, negotiate
- **7-10**: Clear insured liability, reserve and settle

Factors evaluated:
- Comparative/contributory negligence (jurisdiction-specific)
- Statutory obligations
- Contractual indemnity provisions
- Prior loss history pattern

### 3. Reserve Estimation
Three-point estimate:
- **Low**: Best case with strong defense
- **Mid**: Most likely outcome
- **High**: Worst case including litigation costs

Include:
- Indemnity reserve
- Defense costs (inside/outside limits)
- Allocated loss adjustment expense...
README
# Insurance Claims Processor

Turn raw claim data into structured analysis with liability scoring, reserve estimates, fraud detection, and settlement strategy.

Covers property, liability, workers' comp, auto, and professional indemnity claims across US and UK jurisdictions.

## Install

```
clawhub install afrexai-insurance-claims
```

## What You Get

- **Coverage mapping** — matches incidents to policy provisions, endorsements, exclusions
- **Liability scoring** — 1-10 scale with comparative negligence analysis
- **Reserve estimates** — three-point (low/mid/high) with ALAE/ULAE breakdown
- **Fraud detection** — pattern-based red flag scoring
- **Subrogation analysis** — recovery potential and cost-benefit
- **Settlement strategy** — opening position, authority range, mediation vs litigation
- **Compliance timeline** — jurisdiction-specific deadlines and bad faith triggers

## Who This Is For

- Claims adjusters processing high volume
- Insurance operations managers automating triage
- Risk managers handling self-insured retentions
- TPAs standardizing claim handling procedures
- InsurTech teams building claims automation

## More From AfrexAI

- [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — $47 industry packs covering 10 verticals
- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — see what AI agents save your operation
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — configure your AI workforce in 5 minutes

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