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    Software License Evidence Packet

    1

    Reconcile software entitlements, assignments, usage, invoices, renewals, credits, and deprovisioning evidence without turning assumptions into compliance claims.

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    Software License Evidence Packet

    Software License Evidence Packet

    Example session with this skill installed

    We are preparing an annual renewal for a seat-based analytics platform. I uploaded the signed order form, renewal quote, three invoices, current admin-user export, SSO roster, HR status export, deprovisioning tracker, and procurement workbook.

    The order form shows 600 named-user seats. The admin export has 643 assignments. SSO shows 571 people active in the last 90 days. HR marks 31 assigned users as terminated. There are also 20 service/shared accounts and duplicate identities after an acquisition.

    Build a traceable software-license evidence packet. Reconcile the populations, show transparent true-up scenarios, identify what is supported versus unresolved, and do not decide contract interpretation, compliance, or what we owe the vendor.

    • Read your context and instructions
    • Compiled the software license evidence

    Software-License Evidence Packet

    • Purchased baseline: 600 named-user seats
    • Current assignments: 643
    • HR-confirmed terminated but assigned: 31
    • Service/shared accounts: 20 — treatment unresolved
    • Raw delta: +43
    • Confirmed-removal scenario: 612 candidate assignments / +12 versus baseline
    • Duplicate candidates: held for stable-ID review
    • Compliance/vendor liability: not decided

    Deliverables: source register, entitlement register, identity crosswalk, exception register, invoice/renewal reconciliation, scenario matrix, evidence gaps, reviewer questions, and handoff summary.

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

    About this skill

    Software licensing reviews often break because agreements, order forms, admin exports, SSO and HR identities, device inventories, usage reports, invoices, renewal quotes, credits, and deprovisioning records describe different populations.

    Software License Evidence Packet gives an AI agent a disciplined workflow for turning those supplied records into one traceable review package.

    It builds a source register and entitlement ledger, keeps named-user, device, installation, consumption, and concurrent metrics separate, crosswalks identities, flags terminated or stale assignments, duplicate candidates, service and automation accounts, invoice and renewal mismatches, and produces transparent true-up or renewal scenarios with assumptions clearly labeled.

    It does not interpret contracts, certify compliance, validate vendor claims, decide whether a specific account consumes a license, approve true-ups, authorize payments, or access live vendor systems.

    Ideal for software asset management, IT asset management, procurement, finance, IT operations, internal audit-support, and renewal-review workflows.

    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.

    Uses supplied/local evidence only. Does not access live vendor systems, interpret controlling contract language, certify compliance, determine audit liability, validate vendor true-up claims, or authorize renewals, credits, purchase orders, or payments.

    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

    Terminal / Shell
    Read Files
    Write Files

    Requires only user-supplied or locally available licensing evidence. Terminal access is for bounded local parsing and reconciliation only. Do not provide passwords, API tokens, private keys, payment credentials, or license keys.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the reconciliation of disjointed datasets—such as HR rosters, procurement invoices, and admin portal exports—into a structured, audit-ready folder of CSV and Markdown reports. It eliminates the manual work of identifying ghost users and double-counting errors during renewals.

    The skill works with common local file formats including CSV, JSON, and Excel workbooks. It is designed to work within your AI agent's secure local environment, allowing it to process exported data without requiring direct API access to your sensitive HR or ERP systems.

    Your purchase includes the specialized skill configuration, logic for license metric separation, and a structured template for the `license-evidence/` output directory. You will also receive documentation on how to format your exports for the most accurate reconciliation results.

    Unlike general prompts, this skill uses strict metric separation logic to ensure it doesn't conflate different license types like 'named-user' vs. 'concurrent-seat.' This prevents the common AI hallucination of 'guessing' compliance status and instead provides a transparent, verifiable audit trail.

    No, this skill operates entirely on local file exports you provide to your agent. This ensures your sensitive licensing and HR data remains within your controlled environment rather than being transmitted through external SaaS or ERP API connectors.

    The skill identifies discrepancies and 'true-up' scenarios based on the data provided, but it does not provide legal advice or certify compliance. It is an analytical tool designed to provide data-driven evidence for review by your legal or procurement teams.

    New in Finance & Accounting