Insurance Operations Automation
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: afrexai-insurance-automation Version: 1.0.0 The skill bundle provides comprehensive instructions and context for an AI agent to perform insurance operations, including underwriting, claims processing, and policy administration. The `SKILL.md` and `README.md` files contain detailed business logic, agent prompts, and external links to `github.io` resources, all of which are aligned with the stated purpose. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, prompt injection attempts to subvert the agent's core function, or obfuscation. The `clawhub install` command is a standard platform instruction. All content appears to be legitimate for an insurance automation skill.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If implemented without safeguards, an agent could approve, delay, or route insurance claims incorrectly.
The skill proposes automated claims handling decisions. This is aligned with insurance automation, but would be high-impact if connected to live claims or payment systems.
Severity triage: Green (auto-approve <$2K) → Yellow (adjuster review $2K-$25K) → Red (SIU referral >$25K or fraud indicators)
Require explicit human approval, audit logs, jurisdiction-specific authority limits, and rollback procedures before allowing any live claims, underwriting, binding, cancellation, or payment action.
Using this skill with broad insurance, credit, or telematics access could expose or misuse sensitive customer information if permissions are not limited.
The workflow contemplates access to sensitive, regulated policyholder and risk data. The artifacts do not provide credentials or code, but real use would require careful permission boundaries.
Data enrichment checklist (credit, claims history, property data, telematics)
Use least-privilege service accounts, verify authorization for each data source, and restrict outputs to the minimum information needed for the task.
Customer submissions, quotes, and claims data could be shared across agents or carrier systems more broadly than intended.
The skill recommends a multi-agent workflow and carrier interactions, which can be appropriate but need clear data boundaries and identity controls if implemented.
5-agent pipeline architecture: Intake → Research → Quoting → Analysis → Delivery
Define which agent may see which data, authenticate carrier interactions, and prevent one agent’s intermediate notes or assumptions from becoming authoritative without review.