revenueguard

    1

    Local-first revenue assurance tool to identify billing leakage, unbilled usage, and expired discounts.

    $7

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    Converts to your local currency at checkout

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    revenueguard

    Example session with this skill installed

    Audit our 2026 Q1 billing. Use audit-inputs/rules.csv and audit-inputs/invoices.csv provided in the directory. We need a summary of potential leakage.

    • Read your context and instructions
    • Compiled the revenueguard

    Audit complete for Jan-Mar 2026.
    Total Findings: 12
    Conservative Exposure Floor: $14,250.00
    Key Issue: 4 instances of 'Expired Discount' detected for Customer X.
    Reports generated: audit_result.json, executive_report.md.
    Action: Human review required in review_queue.xlsx.

    audit_result.json, executive_report.md

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

    About this skill

    The problem

    Billing errors, expired discounts, and unbilled usage often go unnoticed in manual spreadsheets, leading to significant revenue leakage. Finance teams lack a privacy-first way to audit contract-to-cash cycles without uploading sensitive financial data to the cloud.

    What it does

    • Identifies missing recurring fees by comparing approved billing rules against actual invoice lines.
    • Flags expired discounts and unit rate discrepancies between contracts and usage exports.
    • Detects unbilled work by reconciling timesheets or usage records against billed quantities.
    • Calculates minimum commitment shortfalls and flags cross-currency mismatches.
    • Generates human-readable revenue assurance reports and structured review queues.

    Frameworks & tools

    Python 3. Requires local files in CSV, JSON, or XLSX format.

    Why this beats prompting it yourself

    General LLM prompting fails at financial accuracy and complex reconciliation across disparate datasets. RevenueGuard enforces strict decimal arithmetic, handles multi-file joins with evidence-backed findings, and ensures sensitive data stays on your local machine.

    Use cases

    • Auditing an agency's monthly billable hours against invoice records.
    • Verifying SaaS usage records against monthly minimum commitments.
    • Identifying customers still receiving discounts after promotional periods ended.
    • Preparing periodic revenue leakage health checks for clients.

    Known limitations

    Supports monthly billing rules only. Dates must align with full calendar months. Requires structured data inputs and manual approval for all findings. Cross-currency arithmetic is blocked.

    Supports monthly billing cycles only. Requires Python 3. Does not support cross-currency arithmetic or automatic invoice generation. Input dates must align with month boundaries.

    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 any payment.

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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Listed3 months ago

    What's inside

    Frequently Asked Questions

    RevenueGuard is a local-first Python tool designed to stop revenue leakage by reconciling contract rules against invoices and usage data to find unbilled work, expired discounts, or pricing errors.

    To maintain absolute data privacy, you simply provide local files in CSV, JSON, or XLSX format; the skill processes these datasets on your local machine rather than uploading sensitive financial records to a cloud service.

    This skill is designed for any AI agent capable of running Python 3 environments locally, making it highly compatible with desktop-based agents and terminal-integrated development environments.

    Your purchase includes the core RevenueGuard logic, detailed documentation on data schema requirements, and a set of templates to help you format your local financial files for immediate auditing.

    RevenueGuard currently supports monthly billing cycles and requires structured input data where dates align with full calendar months.

    RevenueGuard uses strict decimal arithmetic and multi-file joins to ensure financial accuracy, whereas standard LLM prompting often struggles with precision in complex data reconciliation.

    New in Finance & Accounting