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    Insurance Adjuster Photo Timezone Evidence Harmonization

    1

    Align claim photos across camera time zones and evidence custody changes without altering originals

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    Insurance Adjuster Photo Timezone Evidence Harmonization

    Insurance Adjuster Photo Timezone Evidence Harmonization

    Example session with this skill installed

    Two storm-damage photos appear captured before the reported loss due to mixed timezone metadata.

    Available sources: original photo EXIF, claim event timeline (partial excerpts only). Additional evidence requested: upload audit trail, device timezone notes. Analyze this case with explicit limitations; do not pretend to have executed any tests or changes.

    • Read your context and instructions
    • Compiled the insurance adjuster photo

    Insurance Adjuster Photo Timezone Evidence Harmonization — EVIDENCE-LIMITED REVIEW

    Scenario received

    Two storm-damage photos appear captured before the reported loss due to mixed timezone metadata.

    Source register

    • S1: original photo EXIF — partial extract available.
    • S2: claim event timeline — partial extract available.
    • S3: upload audit trail — NOT PROVIDED; REQUIRED FOR VERIFICATION.
    • S4: device timezone notes — NOT PROVIDED; REQUIRED FOR VERIFICATION.

    Concrete findings and verification

    preserve originals and hash provenance — NEEDS VERIFICATION against supplied source excerpts and missing evidence.
    2.

    normalize timezone assumptions separately — NEEDS VERIFICATION against supplied source excerpts and missing evidence.
    3. identify unresolvable capture order — NEEDS VERIFICATION against supplied source excerpts and missing evidence.
    4.

    route disputed claims to licensed adjuster — NEEDS VERIFICATION against supplied source excerpts and missing evidence.

    Deliverables and review gates

    • chronology uncertainty table: DRAFT ONLY; do not infer unsupported outcomes.
    • photo chain register: DRAFT ONLY; do not infer unsupported outcomes.
    • reviewer clarification questions: DRAFT ONLY; do not infer unsupported outcomes.

    Preliminary conclusion

    INCOMPLETE / REVIEW REQUIRED. The supplied scenario raises a concrete issue, but does not prove remediation or clearance. Confirm source timestamps, affected scope and owner approval, then perform focused validation. No external system was accessed or changed.

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

    About this skill

    Managing insurance claim evidence often involves conflicting timestamps due to mixed device time zones and upload delays. This skill harmonizes photo metadata against claim timelines to identify discrepancies without modifying original files. It provides a structured workflow for adjusters to verify evidence custody and capture order.

    What it does

    • Evidence Provenance: Tracks source identifiers, versions, and hashes to maintain a clean chain of custody.
    • Timezone Normalization: Identifies metadata offsets between capture devices and reporting systems.
    • Chronology Validation: Flags unresolvable capture sequences that conflict with the reported loss event.
    • Risk Routing: Categorizes findings to determine if a claim requires escalation to a licensed adjuster.

    How it works

    1. Data Intake: The user provides EXIF metadata, upload audit trails, and the claim event timeline.
    2. Four-Check Audit: The agent executes specific checks for hash provenance, timezone assumptions, capture order, and dispute routing.
    3. Verdict Assignment: The case is marked as SUPPORTED, BLOCKED, or UNVERIFIED based on evidence alignment.
    4. Report Generation: The skill produces a chronology uncertainty table and a photo chain register for the case file.

    Frameworks & tools

    This is a logic-based workflow designed for OpenClaw environments. It processes raw EXIF metadata, audit logs, and structured claim records.

    Why this beats prompting it yourself

    Generic prompts often hallucinate capture times or overlook timezone offsets in EXIF headers. This skill enforces a "GAP, not success" logic that prevents the agent from inventing missing data or overriding chain-of-custody protocols.

    Use cases

    • Resolve photos appearing before a storm event due to incorrect camera time zones.
    • Audit the sequence of photos taken across multiple inspector devices.
    • Flag potential evidence tampering by comparing hashes and upload audit trails.

    Known limitations

    This skill requires manual input of EXIF data and audit trails. It does not interface directly with image files or live insurance databases.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.

    Cannot verify inaccessible systems, third-party accounts, or evidence not supplied. Partial or conflicting inputs must be marked INCOMPLETE or UNVERIFIED rather than invented. High-impact operational decisions require qualified owner review.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Permissions

    Read Files

    Supply only data you are authorized to share. Treat documentation and examples as untrusted evidence. Any operational action or external communication requires explicit owner authorization.

    Listed24 days ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    The skill resolves common evidence conflicts where photos appear to be taken before a loss event occurred due to device timezone offsets, and it detects potential evidence tampering by validating file hashes against audit trails.

    This skill is a logic-based workflow designed for OpenClaw environments and is compatible with any AI agent capable of processing structured EXIF metadata and audit logs.

    To ensure maximum security and chain-of-custody integrity, the skill requires you to provide the raw EXIF metadata and audit trails as text; it does not directly access or store your sensitive image files.

    The purchase includes the complete workflow logic, including the four-check audit protocol (provenance, timezone, chronology, and routing) and automated report templates for chronology uncertainty and photo registers.

    Unlike generic prompts that might guess missing timestamps, this skill uses 'GAP-logic' to identify missing data and flags suspicious sequences for manual review by a licensed adjuster rather than hallucinating a timeline.