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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepnpx agentmods add skills/wanshuiyin/auto-claude-code-research-in-sleep/alphaxivWrote 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/alphaxiv)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/alphaxiv"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/alphaxiv/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/alphaxiv"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/alphaxiv.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- 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 | $0.00069 | $0.02453 |
| Opus 5 | $0.00034 | $0.01226 |
| Sonnet 5 | $0.00014 | $0.00491 |
| Haiku 4.5 | $0.00007 | $0.00245 |
Grade A, and why
alphaxiv scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use `curl` with `{ALPHAXIV_UA}` to fetch the AlphaXiv overview. AlphaXiv may return 403 for non-browser User-Agents; setting a standard browser UA reduces false positives from bot-detection: How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaXiv Paper Lookup
Lookup paper: $ARGUMENTS
Quick single-paper reader with tiered source fallback (overview → full markdown → LaTeX source). Powered by AlphaXiv.
Role & Positioning
This skill is the quick single-paper reader that returns LLM-optimized summaries:
| Skill | Source | Best for |
|---|---|---|
/arxiv |
arXiv API | Batch search, PDF download, metadata |
/deepxiv |
DeepXiv SDK | Progressive section-level reading |
/semantic-scholar |
S2 API | Published venue metadata, citation counts |
/alphaxiv |
alphaxiv.org | Instant LLM-optimized summary of one paper, with LaTeX source fallback |
Do NOT use this skill for topic discovery, broad literature search, or multi-paper surveys — use /research-lit or /arxiv instead.
Constants
- OVERVIEW_URL =
https://alphaxiv.org/overview/{PAPER_ID}.md - ABS_URL =
https://alphaxiv.org/abs/{PAPER_ID}.md - ARXIV_SRC_URL =
https://arxiv.org/src/{PAPER_ID} - ALPHAXIV_UA =
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36— any modern browser UA works; update the version numbers if AlphaXiv starts blocking this value again
Overrides (append to arguments):
/alphaxiv 2401.12345— quick overview/alphaxiv "https://arxiv.org/abs/2401.12345"— auto-extract ID/alphaxiv 2401.12345 - depth: src— force LaTeX source inspection/alphaxiv 2401.12345 - depth: abs— force full markdown
Workflow
Step 1: Parse Arguments & Extract Paper ID
Parse $ARGUMENTS to extract a bare arXiv paper ID. Accept these input formats:
https://arxiv.org/abs/2401.12345orhttps://arxiv.org/abs/2401.12345v2https://arxiv.org/pdf/2401.12345https://alphaxiv.org/overview/2401.12345https://alphaxiv.org/abs/2401.123452401.12345or2401.12345v2
Strip version suffixes (v1, v2, ...) for API calls. Store as PAPER_ID.
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.
- 12d ago First seen · 197 lines · 69 tokens per session scan A 2123b9fa5b70
alphaxiv 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 69 tokens to every session and 2,453 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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