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 claims-draftinggit 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/claims-drafting)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/claims-drafting"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/claims-drafting/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/claims-drafting"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/claims-drafting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00053 | $0.02528 |
| Opus 5 | $0.00026 | $0.01264 |
| Sonnet 5 | $0.00011 | $0.00506 |
| Haiku 4.5 | $0.00005 | $0.00253 |
Grade A, and why
claims-drafting 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 4d 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
1 near-identical copy found in the catalogue:
- claims-drafting — 97% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claims Drafting: The Core Patent Skill
Draft patent claims based on: $ARGUMENTS
This is the most critical skill in the patent pipeline. Claims define the legal scope of protection -- everything else (specification, figures, abstract) exists to support and enable the claims.
Constants
REVIEWER_MODEL = gpt-6-astra— External examiner for claim quality reviewMAX_CLAIM_REVISION_ROUNDS = 3— Maximum revision iterationsCLAIM_STYLE = "auto"—US(Jepson or open),EP(two-part mandatory),CN(two-part),auto(detect from jurisdiction)MIN_INDEPENDENT_CLAIMS = 2— Typically method + system. For utility model (实用新型): apparatus/device only, NO method claims.MAX_TOTAL_CLAIMS = 20— Practical limit (USPTO includes 20 in base fee)PATENT_TYPE = "invention"—invention(发明专利) orutility_model(实用新型, apparatus claims only)
Inputs
patent/INVENTION_DISCLOSURE.md— structured invention with core/supporting/optional featurespatent/PRIOR_ART_REPORT.md— prior art to avoidpatent/NOVELTY_ASSESSMENT.md— novelty analysis with suggested amendments- Target jurisdiction from invention disclosure or
$ARGUMENTS
Shared References
Load ../shared-references/patent-writing-principles.md for claim drafting principles, antecedent basis rules, and common pitfalls.
Load ../shared-references/patent-format-cn.md for CN claim format (其特征在于).
Load ../shared-references/patent-format-us.md for US claim format (comprising, means-plus-function).
Load ../shared-references/patent-format-ep.md for EP two-part form (characterised in that).
Workflow
Step 1: Determine Claim Style and Patent Type
Based on patent type and jurisdiction:
If PATENT_TYPE = utility_model (实用新型):
- CN jurisdiction ONLY
- Apparatus/device claims ONLY — no method, no product-by-process
MIN_INDEPENDENT_CLAIMS = 1(single apparatus claim is sufficient)- Claim format: "1. 一种[主题]，其特征在于，包括：[组件描述]。"
Based on target jurisdiction:
| Jurisdiction | Claim Style | Characterising Phrase | Preamble Format |
|---|---|---|---|
| CN | Two-part (两部式) | 其特征在于 | 一种...的方法/装置，包括： |
| US | Open (preferred) | comprising | A method for..., comprising: |
| EP | Two-part (mandatory) | characterised in that | A method for..., comprising [known], characterised in that [inventive] |
| ALL | Draft CN + US + EP | All of the above | All of the above |
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.
- 4d ago Changed 28c5027ae12c
- 12d ago First seen · 228 lines · 53 tokens per session scan A 701d3111d876
claims-drafting is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (15,970 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 2,528 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 2026-08-30.
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-criminal
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.
advogado-especialista
Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.