nda-playbook

nda-playbook is a skill for Claude Code, Codex from kortix-ai/suna. It costs 70 tokens per session (1,398 once invoked), scanned A, original, no licence file.

A first-pass workflow for reviewing incoming non-disclosure agreements (NDAs), which are contracts that limit how confidential information can be shared. It compares each clause with your standard positions and prepares proposed changes and questions for counsel to approve.

In plain words
What is it for?
It saves the NDA, checks it clause by clause, drafts redlines, and prepares a summary of issues for counsel. It does not sign or send the agreement.
Why use it?
It reduces the manual work of spotting differences between an incoming NDA and your usual terms, while keeping legal sign-off in place.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It saves the NDA, checks it clause by clause, drafts redlines, and prepares a summary of issues for counsel. It does not sign or send the agreement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kortix-ai/suna/nda-playbook
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 kortix-ai/suna --skill nda-playbook
Clone the repo
git clone --depth 1 https://github.com/kortix-ai/suna

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-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/kortix-ai/suna/nda-playbook/github.svg)](https://agentmods.dev/skills/kortix-ai/suna/nda-playbook)
Your own site
<a href="https://agentmods.dev/skills/kortix-ai/suna/nda-playbook"><img src="https://agentmods.dev/badge/skills/kortix-ai/suna/nda-playbook/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-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/kortix-ai/suna/nda-playbook"><img src="https://agentmods.dev/badge/skills/kortix-ai/suna/nda-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,398 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 68
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin unknown 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 $0.00070 $0.01398
Opus 5 $0.00035 $0.00699
Sonnet 5 $0.00014 $0.00280
Haiku 4.5 $0.00007 $0.00140

Measured 8d ago against content hash 246a676c65e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nda-playbook 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 8d 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.

packages/starter/templates/marketplace/runtime/skills/nda-playbook/SKILL.md · 124 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 8d ago First seen · 124 lines · 70 tokens per session scan A 246a676c65e0

Subscribe to this mod's changes

nda-playbook is a skill published in the GitHub repository kortix-ai/suna (20,195 stars, last pushed yesterday), with no licence file. It adds 70 tokens to every session and 1,398 once invoked, about $0.0003 per session on Opus 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 2026-09-03.

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