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.
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.
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill patent-pipelinegit clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepWrote 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.
[](https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/patent-pipeline)<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.
<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>- Socket warn
- Snyk warn
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.03569 |
| Opus 5 | $0.00041 | $0.01784 |
| Sonnet 5 | $0.00016 | $0.00714 |
| Haiku 4.5 | $0.00008 | $0.00357 |
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 5d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- patent-pipeline — 95% identical, 8 lines differ
- patent-pipeline — 94% identical, 17 lines differ
- patent-pipeline-wanshuiyin — 86% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patent Pipeline: From Invention to Filing
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)
Patents are about protecting inventions (legal scope), not publishing results (academic contribution). This skill handles the unique requirements of patent drafting: prior art analysis, claims hierarchy design, specification writing with enablement support, embodiment descriptions, and jurisdiction-specific formatting.
Constants
- JURISDICTION =
CN— Target patent jurisdiction. Options:CN(CNIPA),US(USPTO),EP(EPO),ALL(generate all three). Override via argument (e.g.,/patent-pipeline "invention — US"). - PATENT_TYPE =
invention—invention(发明专利, 20 year protection) orutility_model(实用新型, CN only, 10 year protection, apparatus claims only). Override via argument. - REVIEWER_MODEL =
gpt-6-astra— Model used via Codex MCP for examiner-style review. - MAX_REVIEW_ROUNDS = 2 — Maximum review-revision cycles.
- AUTO_PROCEED = false — At each checkpoint, always wait for explicit user confirmation. Patent applications require inventor judgment at every stage. Set
trueonly if user explicitly requests autonomous mode. - LANGUAGE =
auto— Output language. Auto-detected from jurisdiction: CN->Chinese, US->English, EP->English. Override explicitly if needed. - OUTPUT_DIR =
patent/— Directory for generated patent files. - OUTPUT_FORMAT =
markdown— Draft format.markdownfor review,docxfor filing-ready.
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.
- 5d ago Changed 4c6a598de26f
- 13d ago First seen · 345 lines · 81 tokens per session scan A 48834310bc0b
patent-pipeline is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (16,030 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 3,569 once invoked, about $0.0004 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.
Other skills, from other repositories
privacy-by-design
Use when building apps that collect user data. Ensures privacy protections are built in from the start—data minimization, consent, encryption.
ethics-committee
Act as a research ethics committee — stress-test a protocol the way an IRB / REC / HREC would. Reviews informed consent, risk-benefit balance, vulnerable populations, data privacy, deception, debriefing, payment, dual-use risks, AI/LLM use in research, and equity in recruitment. Produces a committee-style decision…
freelance-dev-sow
When to use. A potential client wants a fixed-scope software project and needs a one-page SOW before they sign + pay deposit.
advogado-especialista
Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional.
advogado-criminal
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.