saas-msa-review

Review SaaS subscription agreements for compliance and negotiation recommendations.

1|Updated Jun 27, 2026
One-click install
npx skills add https://github.com/bomday/projetao-tatico --skill saas-msa-review-bomday
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: saas-msa-review
Source: https://github.com/bomday/projetao-tatico/tree/main/claude-for-legal/commercial-legal/skills/saas-msa-review
Command: npx skills add https://github.com/bomday/projetao-tatico --skill saas-msa-review-bomday

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires CLAUDE.md, legal research tool, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill reviews SaaS subscription agreements to ensure compliance with key terms like auto-renewal mechanics, price escalation, and data portability.

Core Features & Use Cases

  • Auto-renewal Mechanics: Analyzes the renewal term length, notice-to-cancel window, and price on renewal.
  • Price Escalation: Evaluates annual escalators, usage overage pricing, and scope of 'fees'.
  • Data Portability and Exit: Assesses export formats, availability, and cost.
  • Uptime and SLA: Reviews uptime commitments, measurement periods, and remedies.
  • Subprocessors: Checks current lists, change notification, and objection rights.
  • Service Changes and Deprecation: Evaluates material adverse changes and deprecation notice periods.
  • AI and Machine Learning Rights: Analyzes the grant of rights, anonymization standards, competitive contamination, opt-out scope, output ownership, and downstream regulatory chain.
  • Liability Cap: Checks direct vs. indirect damages, cap base, cap-carveout interaction, and jurisdiction delta.
  • Jurisdiction Delta Check: Reviews non-solicits/non-competes, auto-renewal, liability exclusions, indemnification, confidentiality term, and jurisdiction-specific enforceability.
  • Redline Granularity: Provides guidance on editing at the smallest possible granularity.
  • Output: Delivers a detailed memo structure, including AI and machine learning rights, SaaS-specific findings, and next-steps decision tree.

Quick Start

Run the 'saas-msa-review' skill on a detected SaaS or subscription agreement.

Frequently Asked Questions about saas-msa-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review a SaaS subscription agreement for auto-renewal and data portability risks?

Evaluating SaaS subscription agreements requires analyzing auto-renewal mechanics, price escalation, and data portability. The review checks compliance against internal and jurisdictional standards, assessing vendor versus customer perspectives to output a structured memo with escalation recommendations.

What should I look for in SaaS uptime SLA and liability cap terms?

SaaS uptime SLA and liability cap reviews evaluate uptime commitments, measurement periods, direct versus indirect damages, and cap-carveout interactions. This analysis identifies jurisdiction-specific enforceability and remedies to formulate structured negotiation recommendations.

Can I analyze AI and machine learning rights within a SaaS contract?

You can analyze AI and machine learning rights in a SaaS contract by evaluating grant of rights, anonymization standards, competitive contamination, opt-out scope, and output ownership. This ensures downstream regulatory chain compliance and protects customer data.

Does SaaS contract analysis require internal playbooks and legal research tools?

SaaS contract analysis requires internal playbooks and legal research tools. These dependencies supply the jurisdictional standards and subprocessor management logic needed to evaluate compliance, check non-solicits, and generate redline granularity guidance.

How do I manage subprocessor lists and service deprecation notices in subscription agreements?

Managing subprocessor lists and service deprecation notices requires reviewing current lists, change notification rules, and objection rights. The analysis evaluates material adverse changes and deprecation notice periods to construct a next-steps decision tree.