Agent skill

Nda Snapshot

by LegalQuants in LegalQuants/lq-ai

A skill your agent uses 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…

Apache-2.0Auto-check passedLegal & Compliance

Install Nda Snapshot

skills CLI
$ npx skills add LegalQuants/lq-ai --skill nda-snapshot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LegalQuants/lq-ai nda-snapshot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LegalQuants/lq-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nda-snapshot .claude/skills/nda-snapshot && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nda-snapshot
GitHub stars
150
Token cost
~1.5k tokens
SKILL.md length
446 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses 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…

  • Permitted recipients
  • SKILL.md covers When this skill applies, Pairing with the synthetic…, Fork-and-tune notes and Output expectations
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Return/destruction obligation

What it does

Nda Snapshot is an agent skill from LegalQuants/lq-ai. 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-question grid with citations per cell. NDA-tuned reference skill for the M3-C outputformat - table mode; intended as a fork-and-tune starting point for operators reviewing NDA portfolios.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Legal & Compliance, covering Contract review. The repository describes itself as: Open-source AI for legal teams. Bring your own keys, run it where you want, own your data. The licence is Apache-2.0.

When your agent uses it

  • Permitted recipients
  • Return/destruction obligation
  • Remedies clause across each agreement

Example prompts

  • “/nda-snapshot”

What it can do on your machine

Read from SKILL.md and the folder at commit 7ac94dd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nda Snapshot loads about 1.5k tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~126
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LegalQuants/lq-ai at commit 7ac94dd, republished under its Apache-2.0 licence (© LegalQuants). 446 words, ~1,520 tokens.

Download SKILL.mdSave it as .claude/skills/nda-snapshot/SKILL.md (or your agent's skills folder).
name
nda-snapshot
description
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-question grid with citations per cell. NDA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing NDA portfolios.
lq_ai.title
NDA Snapshot
lq_ai.version
1.0.0
lq_ai.author
LegalQuants
lq_ai.tags
nda, confidentiality, due-diligence, tabular, snapshot
lq_ai.jurisdiction
agnostic
lq_ai.trigger_examples
compare the confidentiality scope and return obligations across these NDAs, what's the definition of Confidential Information in each of these 5 agreements?…
lq_ai.output_format
table
lq_ai.ensemble_verification
false
lq_ai.minimum_inference_tier
2

NDA Snapshot

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.

Show full SKILL.md (217 more words)Show less

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).

© LegalQuants, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/nda-snapshot of LegalQuants/lq-ai.

Open the folder on GitHubat commit 7ac94dd

Compare with similar skills

Nda Snapshot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nda Snapshot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nda Snapshot this skillLegalQuants/lq-ai150—~1.5kAutomated safety check: PassApache-2.0
Contract Reviewevolsb/claude-legal-skill4641 repos~3.6kAutomated safety check: PassMIT
Commercial Legal Plapiotrowski-afk/commercial-legal-pl1761 repos~4.1kAutomated safety check: PassApache-2.0
Hand Drawnthreerocks/hand-drawn-styles2.2k—~398Automated safety check: PassMIT
Tabular Document Reviewanthropics/claude-for-legal9.6k3 repos~4.3kAutomated safety check: PassApache-2.0
Tw Formal WritingImbad0202/tw-formal-writing179—~1kAutomated safety check: PassMIT

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Questions about Nda Snapshot

What does Nda Snapshot do?

A skill your agent uses 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…. Nda Snapshot is an agent skill from LegalQuants/lq-ai. 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.

When should I use Nda Snapshot?

Nda Snapshot fits situations like: permitted recipients; return/destruction obligation; remedies clause across each agreement.

How do I install Nda Snapshot in Claude Code?

Run `npx skills add LegalQuants/lq-ai --skill nda-snapshot -a claude-code`. Or copy the skill folder (skills/nda-snapshot in LegalQuants/lq-ai) into .claude/skills/nda-snapshot in your project. Claude Code loads it when a task matches its description.

How do I install Nda Snapshot in Codex?

Run `npx skills add LegalQuants/lq-ai --skill nda-snapshot -a codex`. Or copy the skill folder (skills/nda-snapshot in LegalQuants/lq-ai) into .agents/skills/nda-snapshot in your project. Codex loads it when a task matches its description.

Can I use Nda Snapshot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LegalQuants/lq-ai --skill nda-snapshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nda-snapshot, .gemini/skills/nda-snapshot, .github/skills/nda-snapshot and .opencode/skills/nda-snapshot in your project.

What does Nda Snapshot need to run?

SKILL.md names no scripts, command-line tools or credentials: Nda Snapshot is instructions for the agent only.

Does Nda Snapshot access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nda Snapshot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nda Snapshot use?

Nda Snapshot is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nda Snapshot use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nda Snapshot?

Skills that share tags, products or a category with Nda Snapshot: Contract Review (evolsb/claude-legal-skill, 464 stars), Commercial Legal Pl (apiotrowski-afk/commercial-legal-pl, 176 stars), Hand Drawn (threerocks/hand-drawn-styles, 2.2k stars) and Tabular Document Review (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nda Snapshot?

LegalQuants (a GitHub organization) maintains it in LegalQuants/lq-ai, which has 150 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 10, 2026.

Source: LegalQuants/lq-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.