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    Service Credit Evidence Packet

    1

    Organize SLA terms, incidents, exclusions, monitoring, impact, invoices, credits, approvals, disputes, and closure evidence into a traceable packet.

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    Service Credit Evidence Packet

    Service Credit Evidence Packet

    Example session with this skill installed

    Organize these records: SLA (99.9% target), a 120-minute outage report, a provider maintenance notice with 2 days lead time, and an invoice for $5,000. Identify gaps and build a source register.

    • Read your context and instructions
    • Compiled the service credit evidence

    1. Packet decision

    Decision: PARTIAL SERVICE-CREDIT EVIDENCE PACKET AVAILABLE.
    ...

    7. Gaps and conflicts

    • G1: Maintenance notice lead time (2 days) appears to conflict with standard 5-day requirements.
    • G2: Eligible fee base for the $5,000 invoice requires line-item mapping.

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

    About this skill

    The problem

    Organizing service-credit claims often fails because monitoring logs, incident tickets, and complex contracts live in silos. Manually reconciling conflicting timestamps and exclusion clauses across fragmented records leads to missed deadlines and inaccurate credit calculations.

    What it does

    • Builds a traceable source register for all contracts, monitoring exports, invoices, and incident records.
    • Constructs event chronologies that reconcile conflicting timestamps between provider logs and customer tickets.
    • Identifies gaps in maintenance notices, exclusion assertions, and eligible fee bases.
    • Generates bounded calculation scenarios for internal review without deciding legal entitlement.
    • Maps specific service-level targets to corresponding remedies, tiers, and credit caps.

    Frameworks & tools

    Works with local CSV, JSON, and text exports from monitoring systems, ticketing platforms, and ERP tools.

    Why this beats prompting it yourself

    General prompts often conflate internal SLOs with contractual SLAs or fail to separate technical restoration from ticket closure. This skill enforces a rigorous evidentiary structure that keeps technical, commercial, and legal categories distinct, preventing premature or unsupported conclusions.

    Use cases

    • Preparing internal evidence packets for a vendor management or procurement review.
    • Reconciling provider availability percentages against customer-side synthetic monitoring.
    • Auditing service-credit claim drafts against maintenance notice windows and exclusion clauses.
    • Mapping invoice line items to eligible recurring charge bases for credit tiering.

    Known limitations

    Does not access live monitoring, billing, or CRM systems. Does not provide legal interpretations, determine breach, or authorize payments.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Finance & Accounting.

    Requires local record exports. Does not authenticate documents, access live systems, or provide legal advice regarding contract enforceability or breach.

    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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    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files; create or modify bounded local fixes, tests, documentation, or review artifacts; run repository-supported local tests, checks, builds, or parsing commands. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the reconciliation of fragmented data—like monitoring logs, incident tickets, and contracts—to build a structured, traceable evidence packet for SLA disputes or vendor reviews.

    The skill is designed to work with standard data exports including CSV, JSON, and text files from common monitoring, ticketing (ITSM), and ERP platforms.

    You receive the fully configured skill ready for deployment on your AI agent platform, along with documentation on data preparation and evidentiary mapping.

    While it maps technical data to contractual targets, it does not provide legal advice, determine breach of contract, or integrate directly with live billing systems for payment authorization.

    The skill is built for high-performance LLMs (like GPT-4 or Claude 3) that support long-context windows, ensuring it can handle extensive incident logs and complex contract text.

    Yes, the skill can be customized to follow your specific internal workflows for vendor management or procurement review, provided the input data remains in the supported formats.

    New in Finance & Accounting