nda-review

nda-review is a skill for Claude Code, Codex from LegalQuants/lq-ai. It costs 79 tokens per session (3,523 once invoked), scanned A, original, Apache-2.0.

A structured method for reviewing a non-disclosure agreement, or NDA—a contract that limits how confidential information may be shared or used.

In plain words
What is it for?
Use it to assess an NDA from the discloser’s or recipient’s viewpoint and prepare a report for human legal review.
Why use it?
It highlights missing protections, unusual terms, one-sided obligations, and practical risks before someone signs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess an NDA from the discloser’s or recipient’s viewpoint and prepare a report for human legal review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legalquants/lq-ai/nda-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LegalQuants/lq-ai --skill nda-review
Clone the repo
git clone --depth 1 https://github.com/LegalQuants/lq-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nda-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/legalquants/lq-ai/nda-review/github.svg)](https://agentmods.dev/skills/legalquants/lq-ai/nda-review)
Your own site
<a href="https://agentmods.dev/skills/legalquants/lq-ai/nda-review"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/nda-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nda-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/legalquants/lq-ai/nda-review"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/nda-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.03523
Opus 5.5 $0.00032 $0.01409
Sonnet 5.5 $0.00016 $0.00705
Haiku 4.5 $0.00008 $0.00352

Measured 1mo ago against content hash 32bdabc4a8ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nda-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/nda-review/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NDA Review

Conduct a structured review of a non-disclosure agreement from the user's stated perspective and produce a report that an in-house lawyer can act on without redoing the analysis. The output is a draft for human review, not a final word; treat it accordingly.

When this skill applies

Apply when the user provides an NDA (sometimes called a confidentiality agreement, CDA, or confidential disclosure agreement) and asks for review, redline guidance, risk assessment, or a recommendation. The user's perspective — discloser, recipient, or mutual — fundamentally changes the analysis; require it before proceeding if not supplied.

Do not apply this skill to:

  • Confidentiality clauses inside larger agreements (MSAs, employment agreements, settlement agreements). Those clauses interact with the surrounding agreement; isolated review misleads. Tell the user a separate review of the parent agreement is needed.
  • Documents that are not NDAs, even if they touch on confidentiality (data processing agreements, security addenda, BAAs). Refer the user to the appropriate skill.
  • NDAs in employment contexts (employee confidentiality agreements, separation agreements with NDA components). These have employment-law overlays this skill does not cover.

Inputs

The skill requires the NDA itself and the user's perspective. If perspective is not provided, ask:

"Before I review, which side are you on? Discloser (you're sharing information and want strong protections on the recipient), recipient (you're receiving information and want narrow obligations on yourself), or mutual (both parties are exchanging information and you want balanced, symmetric terms)?"

If the user describes a situation that does not cleanly fit one of these (e.g., "we're sharing information but only a small amount; mostly we're receiving"), default to the perspective covering the larger exposure and note the asymmetry in the report. For mostly-receiving-with-some-sharing, treat as recipient and add a note about the discloser-side exposure.

Read the full file on GitHub · 212 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 212 lines · 79 tokens per session scan A 32bdabc4a8ec

Subscribe to this mod's changes

nda-review is a skill published in the GitHub repository LegalQuants/lq-ai (156 stars, last pushed today), licensed Apache-2.0. It adds 79 tokens to every session and 3,523 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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