Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Processes and analyzes insurance claims across policy types, providing coverage mapping, liability scoring, reserve estimates, fraud detection, and settlemen...
Processes and analyzes insurance claims across policy types, providing coverage mapping, liability scoring, reserve estimates, fraud detection, and settlemen...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Process, analyze, and optimize insurance claims. Covers property, liability, workers' comp, auto, and professional indemnity.
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
Provide claim details in any format — adjuster notes, policyholder statement, incident report, photos, or free text. The agent structures everything.
Analyze this claim: [paste details]
Map incident to policy provisions Identify applicable endorsements and exclusions Flag coverage disputes early Check occurrence vs claims-made triggers
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
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)
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
Third-party recovery potential Evidence preservation requirements Statute of limitations by jurisdiction Cost-benefit of pursuit
Opening position and authority range Mediation vs litigation cost comparison Jurisdiction-specific verdict ranges Structured settlement considerations for large claims
Replacement cost vs actual cash value Business interruption calculations (gross earnings, extra expense) Ordinance or law coverage triggers Catastrophe event coordination
Compensability determination Return-to-work timeline Medical treatment guidelines by state Permanent disability rating estimates
Discovery rule and statute of repose Prior acts coverage analysis Consent to settle provisions Panel counsel selection criteria
Comparative fault allocation UM/UIM stacking analysis Medical payment coordination Total loss threshold calculations
Produces jurisdiction-specific compliance timeline: Acknowledgment deadlines Investigation completion requirements Payment timing obligations Required notices and disclosures Bad faith exposure triggers
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
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.