NDA Snapshot

SkillDocs & knowledge

Lets your agent compare key confidentiality terms across multiple NDAs side by side.

Use NDA Snapshot in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the NDA Snapshot skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

NDA SnapshotStart free
About this skill

Use when the user wants to compare the substantive NDA-specific terms across N non-disclosure agreements side-by-side, the definition of Confidential Information, permitted recipients, return/destruction obligation, and remedies clause across each agreement. Returns a row-per-document × column-per-

What this skill tells your AI

The instructions your AI receives, as published by legalquants/lq-ai in skills/nda-snapshot/SKILL.md and read by Ahel’s review.

A reference skill for the M3-C output_format: table mode, tuned for non-disclosure agreement portfolios. Produces a side-by-side grid of NDA-specific terms across N agreements — the in-house lawyer's "compare these NDAs we have with vendors / counterparties / candidates" 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 NDAs and wants to see how key substantive terms compare across them. Examples:

  • "I have NDAs with our top 20 vendors — show me how the definition of Confidential Information varies and where the carveouts are tightest."
  • "Compare the return/destruction obligations across these 10 candidate NDAs before we standardize our template."
  • "What remedies are available across the 5 mutual NDAs in this M&A diligence box?"

Do not apply this skill to:

  • Single-NDA review — use nda-review for one document at a time.
  • General contract comparison across mixed types — use contract-snapshot for the general Term/Survival/Carveouts/Governing-Law grid.
  • Free-form Q&A about an NDA — that's the regular Chat surface.

Pairing with the synthetic corpus

This skill ships paired with the synthetic NDA corpus in docs/quickstart/sample-ndas/ (5 mutual NDAs with varying 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 are deliberately NDA-specific — they don't overlap with the general contract-snapshot columns (Term, Survival, Carveouts, Governing Law). Operators who want both can run the two skills in sequence, or fork this skill and add a Term/Governing-Law column for a combined view.

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

  • Adding a Term column if you care about NDA duration (often 2–5 years).
  • Adding a Notice of Compelled Disclosure column if you negotiate that provision frequently.
  • Replacing the Permitted Recipients column with a narrower Affiliate Permission column if your business has a specific affiliate-sharing pattern.
  • Bumping minimum_inference_tier to 3 on all columns if you need higher-fidelity extraction for high-stakes deals.

The four columns chosen here reflect the questions a junior associate or paralegal would most often be asked to extract during NDA portfolio review — they are the highest-frequency, highest-value comparison points across typical mutual-NDA practice.

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 is long or convoluted.
  • 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).

Signals

GitHub stars
149
Forks
62
Last commit
Oct 2026
Advanced
Item type
skill
Key
nda-snapshot
Source
github.com/legalquants/lq-ai