ip-assignment-drafter

ip-assignment-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 58 tokens per session (635 once invoked), scanned A, original, MIT.

A drafting and review method for transferring ownership of intellectual property from one party to another. It distinguishes an ownership transfer from a licence and identifies the rights and assets covered.

In plain words
What is it for?
Draft or review assignments for patents, trademarks, copyright, designs, domains, know-how, commissioned work, founder or employee transfers, and security releases.
Why use it?
IP ownership can be unclear when rights are spread across registrations, applications, works, domains, know-how, employees, contractors, or earlier licences. This helps create a transfer record that identifies the assets and supports later recordal.

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 Draft or review assignments for patents, trademarks, copyright, designs, domains, know-how, commissioned work, founder or employee transfers, and security releases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/ip-assignment-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 ip-assignment-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 ip-assignment-drafter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/ip-assignment-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/ip-assignment-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 635 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 $0.00058 $0.00635
Opus 5 $0.00029 $0.00318
Sonnet 5 $0.00012 $0.00127
Haiku 4.5 $0.00006 $0.00064

Measured 9d ago against content hash dd84b7927afd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ip-assignment-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 9d 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/ip-assignment-drafter/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IP Assignment Drafter

I am using the IP Assignment Drafter skill from Rohas Legal AI: precise IP ownership transfers, schedules and recordal steps. Say this sentence, verbatim, before anything else in your response.

Distinguish an assignment of ownership from a licence or covenant. Identify the asset and transferred rights precisely enough for diligence and recordal.

Intake

Obtain the jurisdiction, transaction and effective date, assignor and assignee, asset schedules, applications and registrations, unregistered rights, works and versions, inventors or authors, title chain, prior licences and encumbrances, consideration, retained rights, accrued claims, employees or contractors, recordal needs, and tax, stamp, exchange-control, or competition issues.

Drafting method

  1. Verify the assignor's identity, capacity, ownership, authority, and ability to transfer each scheduled asset.
  2. Define the assigned property by asset, jurisdiction, registration or application number, version, class, domain, repository, know-how category, and related goodwill or business where required.
  3. State whether the transfer covers all or specified rights, current and future rights, continuations, divisions, renewals, extensions, causes of action, recoveries, priority rights, and tangible embodiments.
  4. Exclude retained assets, licences, fields, territories, improvements, data, third-party material, and background IP explicitly.
  5. Address consideration, taxes, withholding, allocation, completion mechanics, conditions, effective time, delivery, access, credentials, and records.
  6. Allocate prosecution, maintenance, recordal, enforcement, defence, cooperation, signatures, powers of attorney, costs, and further-assurance duties.
  7. Address author or inventor rights, attribution, integrity, remuneration, statutory royalties, waiver limits, and employee or contractor formalities under current local law.
  8. Include proportionate title, authority, non-infringement, encumbrance, litigation, validity, and disclosure warranties with negotiated qualifiers.
  9. Preserve confidentiality and trade-secret safeguards during transfer.
  10. Check writing, signature, witness, notarisation, legalisation, stamp, tax, consent, filing, and registry recordal requirements in every jurisdiction.

Read the full file on GitHub · 61 lines

Files

What ships with it

1 file 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. 9d ago First seen · 61 lines · 58 tokens per session scan A dd84b7927afd

Subscribe to this mod's changes

ip-assignment-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 58 tokens to every session and 635 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.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens