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Tencent SkillHub · Data Analysis

Insurance Claims Processor

Processes and analyzes insurance claims across policy types, providing coverage mapping, liability scoring, reserve estimates, fraud detection, and settlemen...

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Processes and analyzes insurance claims across policy types, providing coverage mapping, liability scoring, reserve estimates, fraud detection, and settlemen...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

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]

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 (ALAE) Unallocated loss adjustment expense (ULAE)

4. Fraud Detection

Red flags scored by severity: Claim timing patterns (Monday morning, policy inception proximity) Prior claim frequency Documentation inconsistencies Witness availability issues Financial stress indicators Description vs damage inconsistency

5. Subrogation Analysis

Third-party recovery potential Evidence preservation requirements Statute of limitations by jurisdiction Cost-benefit of pursuit

6. Settlement Strategy

Opening position and authority range Mediation vs litigation cost comparison Jurisdiction-specific verdict ranges Structured settlement considerations for large claims

Property Claims

Replacement cost vs actual cash value Business interruption calculations (gross earnings, extra expense) Ordinance or law coverage triggers Catastrophe event coordination

Workers' Compensation

Compensability determination Return-to-work timeline Medical treatment guidelines by state Permanent disability rating estimates

Professional Liability

Discovery rule and statute of repose Prior acts coverage analysis Consent to settle provisions Panel counsel selection criteria

Auto/Fleet

Comparative fault allocation UM/UIM stacking analysis Medical payment coordination Total loss threshold calculations

Compliance Checklist Generator

Produces jurisdiction-specific compliance timeline: Acknowledgment deadlines Investigation completion requirements Payment timing obligations Required notices and disclosures Bad faith exposure triggers

Output Format

Every analysis produces: Executive Summary — 3-line claim snapshot Coverage Analysis — provisions, exclusions, disputes Liability Score — 1-10 with reasoning Reserve Recommendation — low/mid/high with breakdown Red Flags — fraud indicators if any Action Items — next steps with deadlines Settlement Range — if applicable Built by AfrexAI — AI agent context packs for every industry. Get the full Insurance & Risk Management Context Pack with claims processing, underwriting automation, policy analysis, and actuarial modeling: AfrexAI Storefront Calculate what AI agents save your claims operation: AI Revenue Calculator

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • README.md Docs