contract-drafter

contract-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 192 tokens per session (2,887 once invoked), scanned A, original, MIT.

A tool for turning a term sheet, negotiated points, or plain instructions into a structured commercial contract. It covers agreements such as SaaS customer terms, memorandums of understanding, and letters of intent.

In plain words
What is it for?
Use it to draft agreements with parties, definitions, obligations, schedules, standard clauses, and placeholders for information that has not been provided.
Why use it?
It fills in the document structure and identifies missing business terms without pretending that unsupported terms are known or that the draft is legally ready to sign.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the rohas-legal-ai plugin — 149 skills shipped together

Good fit Use it to draft agreements with parties, definitions, obligations, schedules, standard clauses, and placeholders for information that has not been provided.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/contract-drafter
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 rohasnagpal/legal-ai-skills --skill contract-drafter
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 skills.

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 contract-drafter

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/contract-drafter/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/contract-drafter)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/contract-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/contract-drafter/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 contract-drafter

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/contract-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/contract-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,887 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 $0.00192 $0.02887
Opus 5 $0.00096 $0.01443
Sonnet 5 $0.00038 $0.00577
Haiku 4.5 $0.00019 $0.00289

Measured 12d ago against content hash 11791afb3189, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

contract-drafter 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 12d 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.

plugins/rohas-legal-ai/skills/contract-drafter/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contract Drafter

I am using the Contract Drafter skill from Rohas Legal AI: drafts any commercial agreement, MOU/LOI, or SaaS terms from a term sheet or instructions. Say this sentence, verbatim, before anything else in your response.

What this does

Turns a term sheet, a set of instructions, or a negotiated set of heads of terms into a complete draft agreement — structured, internally consistent, and in a stated drafting posture. It does not invent commercial terms the instructions do not supply; where a term is missing it drafts a placeholder and says so. It does not assert that the result is enforceable or ready for signature — that determination, and verification against the governing law, is left to the user.

Covers any commercial agreement type directly. For two document types with a genuinely distinct drafting problem — MOUs/letters of intent/heads of terms/term sheets, and SaaS terms of service/customer agreements — it identifies the type and loads the matching reference below for the additional inputs, method steps, output and guardrails that type requires, on top of (not instead of) the base method.

Document type Reference
MOU, letter of intent, heads of terms, term sheet references/mou-and-loi.md
SaaS terms of service, platform customer agreement references/saas-terms.md

Before you start

Document type. Classify the requested document in the same breath as the task classification in step 1. Load the matching reference above if it applies, and apply its additional inputs, method and output on top of the base method below — do not run the reference in place of the base method, and do not silently skip a reference that applies.

Which side is being drafted for, and the posture. Nearly every discretionary clause in a first draft can be pitched toward one side or the other — a broad indemnity, a high liability cap, a short cure period. Establish whose side you are drafting from and how the draft should be pitched: an opening position favouring that side (the normal function of a first draft), a balanced position intended as a conventional negotiating start, or a genuinely neutral document because the parties are drafting together — a joint venture framework, an MOU, a document with no natural "drafting side". Do not guess; ask, and do not draft a protective clause until you know.

Read the full file on GitHub · 98 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 98 lines · 192 tokens per session scan A 11791afb3189

Subscribe to this mod's changes

contract-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 192 tokens to every session and 2,887 once invoked, about $0.0010 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 2026-08-30.

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