patent-pipeline

patent-pipeline is a skill for Claude Code from wanshuiyin/Auto-claude-code-research-in-sleep. It costs 81 tokens per session (3,707 once invoked), scanned A, original, MIT.

A full workflow for preparing a patent application from an invention description. It covers the stages from finding earlier work through drafting, review, and formatting for Chinese, United States, or European filing.

In plain words
What is it for?
Use it to produce invention disclosures, claims, specifications, figure descriptions, embodiments, review reports, and jurisdiction-formatted filing documents.
Why use it?
It connects research, legal claim drafting, technical explanation, examiner-style review, and final document preparation. This reduces the need to coordinate many separate patent tasks manually.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):.

Part of the aris plugin — 87 skills, 1 command, 1 agent shipped together

Good fit Use it to produce invention disclosures, claims, specifications, figure descriptions, embodiments, review reports, and jurisdiction-formatted filing documents.

Compare 6 skills from other repositories ↓
About the project

ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.

wanshuiyin/Auto-claude-code-research-in-sleep · 18,176 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
agentmods
npx agentmods add skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline

Made for: Claude Code.

Or install aris, the plugin that ships this one along with the rest of its 87 skills, 1 command, 1 agent.

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 patent-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline/github.svg)](https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline)
Your own site
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline/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 patent-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,707 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
  • Socket pass 15 Sept 2026
  • Snyk warn 15 Sept 2026
  • 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 $0.00081 $0.03707
Opus 5.5 $0.00032 $0.01483
Sonnet 5.5 $0.00016 $0.00741
Haiku 4.5 $0.00008 $0.00371

Measured 8d ago against content hash 041781ddf20f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

patent-pipeline 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

skills/patent-pipeline/SKILL.md · 356 lines

How it starts

The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Patent Pipeline: From Invention to Filing

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

Draft a complete patent application based on: $ARGUMENTS

Overview

This skill orchestrates the full patent drafting lifecycle -- from prior art search through jurisdiction-formatted filing documents. It chains sub-skills into a patent-specific pipeline:

/prior-art-search → /patent-novelty-check → /invention-structuring → /claims-drafting → /specification-writing → /patent-review → /jurisdiction-format
     (search)           (verify)              (structure)             (claims)            (description)          (examiner)         (compile)
                                                                                              ├── /figure-description
                                                                                              └── /embodiment-description

This is a parallel branch, not part of the linear research pipeline. After /idea-discovery produces validated ideas, the user can either:

  • Go to /experiment-bridge → /auto-review-loop → /paper-writing (publish track)
  • Go to /grant-proposal (funding track)
  • Go to /patent-pipeline (patent track) <-- this skill
                    ┌→ /experiment-bridge → /auto-review-loop → /paper-writing  (publish track)
/idea-discovery ────┤
                    ├→ /grant-proposal → [get funded] → ...  (funding track)
                    └→ /patent-pipeline → [file patent]       (patent track)

Read the full file on GitHub · 356 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. 8d ago Changed · +11 lines 041781ddf20f
  2. 1mo ago Changed 4c6a598de26f
  3. 1mo ago First seen · 345 lines · 81 tokens per session scan A 48834310bc0b

Subscribe to this mod's changes

patent-pipeline is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (18,176 stars, last pushed 3d ago), licensed MIT. It adds 81 tokens to every session and 3,707 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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