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/research-litWrote 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/research-lit)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-lit"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-lit/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/research-lit"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-lit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 585 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Rogue Agent · line 533 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00048 | $0.11998 |
| Opus 5.5 | $0.00019 | $0.04799 |
| Sonnet 5.5 | $0.00010 | $0.02400 |
| Haiku 4.5 | $0.00005 | $0.01200 |
Grade A, and why
research-lit 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:
- research-lit — 100% identical, 82 lines differ
How it starts
The opening of the file, as written. The whole thing — 785 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Literature Review
Research topic: $ARGUMENTS
Constants
- PAPER_LIBRARY — Local directory containing user's paper collection (PDFs). Check these paths in order:
papers/in the current project directoryliterature/in the current project directory- Custom path specified by user in
CLAUDE.mdunder## Paper Library
- MAX_LOCAL_PAPERS = 20 — Maximum number of local PDFs to scan (read first 3 pages each). If more are found, prioritize by filename relevance to the topic.
- SOURCES =
all— Which literature sources to search. Options:zotero,obsidian,local,web,semantic-scholar,deepxiv,exa,gemini,openalex,all. Full source table and selection rules: see## Data Sourcesbelow. - ARXIV_DOWNLOAD = false — When
true, download top 3-5 most relevant arXiv PDFs to PAPER_LIBRARY after search. Whenfalse(default), only fetch metadata (title, abstract, authors) via arXiv API — no files are downloaded. - ARXIV_MAX_DOWNLOAD = 5 — Maximum number of PDFs to download when
ARXIV_DOWNLOAD = true.
💡 Overrides:
/research-lit "topic" — paper library: ~/my_papers/— custom local PDF path/research-lit "topic" — sources: zotero, local— only search Zotero + local PDFs/research-lit "topic" — sources: web— only search the web (skip all local)/research-lit "topic" — sources: web, semantic-scholar— also search Semantic Scholar for published venue papers (IEEE, ACM, etc.)/research-lit "topic" — sources: all, deepxiv— use default sources plus DeepXiv/research-lit "topic" — arxiv download: true— download top relevant arXiv PDFs/research-lit "topic" — arxiv download: true, max download: 10— download up to 10 PDFs
Data Sources
This skill checks multiple sources in priority order. All are optional — if a source is not configured or not requested, skip it silently.
Source Selection
Parse $ARGUMENTS for a — sources: directive:
- If
— sources:is specified: Only search the listed sources (comma-separated). Valid values:zotero,obsidian,local,web,semantic-scholar,deepxiv,exa,gemini,openalex,all. - If not specified: Default to
all— search every available source in priority order (semantic-scholar,deepxiv,exa,gemini, andopenalexare excluded fromall; they must be explicitly listed).
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 Changed · +28 lines 3800da1ad62b
- 1mo ago First seen · 757 lines · 48 tokens per session scan A 00d9f549e4db
research-lit 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 48 tokens to every session and 11,998 once invoked, about $0.0002 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 2026-09-03.
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