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    DamageCheck: Automotive Insurance Claim Audit Core

    1

    Automated collision impact-to-inspection mapping for automotive CRM and legal claim systems via structured JSON.

    Free

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    DamageCheck: Automotive Insurance Claim Audit Core

    DamageCheck: Automotive Insurance Claim Audit Core

    Example session with this skill installed

    Audit this claim: front right wheel impact. Insurer approved a new rim and tire. We need to check for hidden suspension or steering issues. Output JSON for our CRM.

    • Read your context and instructions
    • Compiled the damagecheck

    Processed the front right wheel impact vector. The audit identifies high-probability stress on the steering linkage and hub assembly.

    Collision Audit Result

    {
      "audit_summary": {
        "normalized_impact_vector": "lateral_wheel_axis_impact",
        "risk_of_omitted_damage": "HIGH"
      },
      "inspection_manifest": [
        {
          "component_name": "Steering Rack / Tie Rod",
          "technical_justification": "Lateral load transfer through wheel hub to steering linkage",
          "status_flag": "WARRANTS_PHYSICAL_INSPECTION"
        },
        {
          "component_name": "Steering Knuckle",
          "technical_justification": "Impact force vector transmitted through wheel hub assembly",
          "status_flag": "WARRANTS_PHYSICAL_INSPECTION"
        },
        {
          "component_name": "Hub Bearing",
          "technical_justification": "Radial load concentration during lateral impact event",
          "status_flag": "WARRANTS_PHYSICAL_INSPECTION"
        },
        {
          "component_name": "Control Arm Bushings",
          "technical_justification": "Kinetic energy dissipation through suspension pivot points",
          "status_flag": "WARRANTS_PHYSICAL_INSPECTION"
        }
      ],
      "regulatory_signals": {
        "supplemental_claim_basis": "Insurer approval omits 4 high-probability co-affected components for lateral axis impact.",
        "anti_fraud_verification": "Output restricted to inspection mandates; no definitive damage asserted."
      }
    }
    

    Next steps

    1. Import the inspection_manifest array into the repair order's technical task list.
    2. Schedule a physical measurement of the steering knuckle for alignment deviation.
    3. Use the technical_justification strings to support the supplemental claim filing.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Insurance claims systems often miss hidden secondary damage, leading to lost revenue for repair shops and incomplete legal claims. This skill provides a deterministic backend logic layer that maps collision impact vectors to structured, compliance-verified physical inspection manifests.

    What it does

    • Normalizes telemetry data by converting free-text impact descriptions into canonical mechanical impact vectors.
    • Maps kinetic co-dependencies to identify secondary components stressed by specific impact forces based on unibody structural physics.
    • Generates inspection manifests that output structured lists of components requiring physical verification, complete with technical justifications.
    • Enforces anti-fraud guardrails by blocking any attempt to assert unverified damage as a historical fact.
    • Emits structured JSON designed for direct consumption by CRM, ERP, or legal practice management systems.

    How it works

    1. The host system sends a JSON payload containing collision telemetry and declared impact zones.
    2. The skill resolves non-standard terminology to a structural mechanical load baseline.
    3. The engine aggregates an inventory of secondary components likely affected by the kinetic vector.
    4. The skill applies a compliance filter to ensure no definitive damage assertions are made.
    5. A structured JSON response is returned containing the manifest and regulatory signals.

    Frameworks & tools

    This is a language-agnostic backend core compatible with any system capable of handling JSON payloads via REST API or Model Context Protocol (MCP). It is ideal for FastAPI, Node.js, or Ruby on Rails middleware integrations.

    Why this beats prompting it yourself

    Prompting a standard LLM for damage assessment often results in speculative confidence scores or "hallucinated" damage percentages that create legal liability. This skill uses a deterministic mapping approach and strict syntax framing to ensure every output is a defensible, inspection-only mandate that satisfies insurance compliance.

    Use cases

    • Automating supplemental claim audits in automotive CRM platforms.
    • Building an MCP server for insurance adjusters to verify inspection scope.
    • Integrating impact-to-inspection workflows into legal practice management software.

    Known limitations

    This skill does not provide repair cost estimations, parts pricing, or direct insurance claim form generation. It requires a downstream system to consume and display the JSON output.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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