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msa-snapshot

Use when the user wants to compare the substantive commercial terms across N master services agreements side-by-side — term and renewal, payment terms…

Skill by LegalQuants

IndexedApache-2.0★ 156
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/legalquants-msa-snapshot

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when the user wants to compare the substantive commercial terms across N master services agreements side-by-side — term and renewal, payment terms, limitation of liability, and indemnification posture across each agreement. Returns a row-per-document × column-per-question grid with citations per cell. MSA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing MSA portfolios.

Use cases: documents, finance

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/msa-snapshot

What's inside

Skill name
msa-snapshot
Description
Use when the user wants to compare the substantive commercial terms across N master services agreements side-by-side — term and renewal, payment terms, limitation of liability, and indemnification posture across each agreement. Returns a row-per-document × column-per-question grid with citations per cell. MSA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing MSA portfolios.
License
Apache-2.0
Instructions
46 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# MSA Snapshot

A reference skill for the M3-C `output_format: table` mode, tuned for master services agreement portfolios. Produces a side-by-side grid of MSA-specific commercial terms across N agreements — the in-house lawyer's "compare these vendor MSAs" or "diligence these target MSAs" workflow. Each cell carries a citation back to the source document; failed extractions render as `not found` rather than confidently-wrong text.

## When this skill applies

Apply when the user has a portfolio of MSAs and wants to see how key commercial terms compare across them. Examples:

- "Pull liability caps, indemnification, and payment terms across these 8 vendor MSAs before our renewal cycle."
- "For this acquisition diligence, show me the renewal trigger and termination posture across the target's top 15 MSAs."
- "Compare the liability carveouts across our SaaS MSAs vs. our commercial-purchase MSAs."

Do not apply this skill to:

- Single-MSA review — use `msa-review-saas` or `msa-review-commercial-purchase` for one document at a time.
- General contract comparison across mixed types — use `contract-snapshot` for the general Term/Survival/Carveouts/Governing-Law grid.
- NDA portfolios — use `nda-snapshot` for NDA-specific columns (Confidential Information definition, permitted recipients, etc.).

## Pairing with the synthetic corpus

This skill ships paired with the synthetic MSA corpus in `docs/quickstart/sample-msas/` (5 MSAs with varying commercial terms). Operators trying LQ.AI for the first time can attach those 5 PDFs to a Knowledge Base and run this skill to see the tabular workflow end-to-end without committing real documents to the system.

## Fork-and-tune notes

The four columns here cover the highest-frequency MSA comparison questions for in-house counsel doing portfolio review or diligence. They do not overlap with the general `contract-snapshot` columns (Term, Survival, Carveouts, Governing Law) — operators wanting both can run the two skills in sequence.

When forking for your own MSA template / counterparty patterns, common modifications include:

- Adding a **Termination for Convenience** column if your business cares about exit flexibility (notice period + fee structure).
- Adding a **SLA / Service Levels** column for SaaS-heavy MSA portfolios (credit structure + measurement period).
- Adding a **Data Processing** column if you need to compare DPA references and data-residency commitments across vendors.
- Replacing the **Indemnification** column with a narrower **IP Indemnification** column if that is the only indemnification scope you care about.
- Bumping `minimum_inference_tier` to 3 on all columns for high-stakes diligence work.

The **Limitation of Liability** and **Indemnification** columns default to `minimum_inference_tier: 3` because these clauses are dense, fragmented across the document, and most prone to silent extraction errors. The carveouts in particular are the most-negotiated piece of an MSA — surfacing them inaccurately is worse than surfacing them not-at-all.

## Output expectations

For each document × column cell:

- A quoted phrase or short paragraph from the source document, anchored by character offsets to enable the citation modal.
- A brief plain-language summary when the operative clause spans multiple paragraphs.
- An explicit "one-way (vendor-favorable)" / "one-way (customer-favorable)" / "mutual" tag where the column asks about directionality (e.g., Indemnification).
- `not found` when the requested term is genuinely absent from the document (not when extraction failed — those surface as a parse error in the cell footer).

From LegalQuants/lq-ai, Apache-2.0.

More from LegalQuants/lq-ai

Signals

Stars
156
Forks
67
Open issues
94
Last commit (this folder)
May 23, 2026 (5 months ago)
Last release
Oct 8, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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msa-snapshot skill. Agent Mart. https://agentmart.dev/skills/legalquants-msa-snapshot (last updated 2026-10-24)