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 writing-systems-papersgit 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/writing-systems-papers)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/writing-systems-papers"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/writing-systems-papers/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/writing-systems-papers"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/writing-systems-papers.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 | $0.00084 | $0.01759 |
| Opus 5 | $0.00042 | $0.00879 |
| Sonnet 5 | $0.00017 | $0.00352 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
writing-systems-papers 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- writing-systems-papers — 98% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Systems Papers: Paragraph-Level Blueprint
Structural guidance for $ARGUMENTS
Relationship to Other ARIS Skills
- paper-write: General paper generation workflow with citation verification. This skill complements it with systems-specific structural blueprints.
- paper-slides: Conference presentation generation (Beamer+PPTX). Already covers talks — no overlap.
- paper-plan: Research outline creation. Use paper-plan first, then this skill for paragraph-level structure.
Boundary: paper-write handles the generation workflow (LaTeX output, DBLP verification, section-by-section drafting). This skill provides the structural skeleton — page budgets, paragraph roles, and writing patterns specific to systems venues.
Page Allocation: 12-Page Systems Paper
| Section | Pages | Key Content |
|---|---|---|
| Abstract | ~0.25 | 150–250 words, 5 sentences |
| S1 Introduction | 1.5–2 | Problem → Gap → Insight → Contributions |
| S2 Background & Motivation | 1–1.5 | Terms + Production observations |
| S3 Design | 3–4 | Architecture + Modules + Alternatives |
| S4 Implementation | 0.5–1 | Prototype, LOC, engineering |
| S5 Evaluation | 3–4 | Setup + E2E + Ablation + Scalability |
| S6 Related Work | 1 | By methodology, explicit comparison |
| S7 Conclusion | 0.5 | 3-sentence summary |
Section Blueprints
Abstract (5 sentences)
S1: Problem context and importance
S2: Gap in existing approaches
S3: Thesis — "X is better for Y in environment Z" (Irene Zhang formula)
S4: Approach summary + headline results
S5: Impact or availability
Sources: Levin & Redell — "Can you state the new idea concisely?"; Irene Zhang — "abstract cannot use terms introduced in the paper."
S1 Introduction (1.5–2 pages)
- Problem (~0.5p) — Domain + concrete numbers + why it matters
- Gap analysis (~0.5p) — G1–Gn: specific shortcomings with evidence
- Key insight (1 para) — Thesis: "X is better for Y in Z"
- Contributions (~0.5p) — 3–5 numbered, testable claims with §N references
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.
- 8d ago First seen · 185 lines · 84 tokens per session scan A 14a79a6b44b8
writing-systems-papers 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 84 tokens to every session and 1,759 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 2026-09-03.
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