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 comm-lit-reviewgit 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/comm-lit-review)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/comm-lit-review"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/comm-lit-review/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/comm-lit-review"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/comm-lit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00083 | $0.02112 |
| Opus 5 | $0.00042 | $0.01056 |
| Sonnet 5 | $0.00017 | $0.00422 |
| Haiku 4.5 | $0.00008 | $0.00211 |
Grade A, and why
comm-lit-review 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 13d 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:
- comm-lit-review-claude-single — 95% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comm Lit Review Claude Single
Research topic: $ARGUMENTS
Purpose
Use this skill for communications-domain literature review when the topic is about:
- wireless communications
- cellular systems,
4G/5G/6G,NR,NTN - satellite,
LEO,GEO, integrated space-air-ground systems - Wi-Fi, WLAN, mesh, ad hoc, sidelink, V2X
- routing, scheduling, resource allocation, beamforming
- rate adaptation, link adaptation,
ACM,HARQ,CSIfeedback - transport protocols and congestion control in communication networks
- cross-layer optimization for communication systems
If the center of gravity is generic ML architecture research, pure control theory without communications literature, or software/API documentation rather than papers, fall back to a general literature skill.
Constants
- PAPER_LIBRARY: Check local PDFs in this order:
papers/in the current projectliterature/in the current project- Custom path specified by the user in
CLAUDE.mdunder## Paper Library
- MAX_LOCAL_PAPERS = 20: Maximum number of local PDFs to scan. If there are more, prioritize by filename and first-page relevance.
Source Selection
Parse $ARGUMENTS for a — sources: directive.
- If
— sources:is specified, only search the listed sources. - If not specified, default to:
zoteroobsidianlocalieeesciencedirectacmweb
Valid source values:
zoteroobsidianlocalieeesciencedirectacmweball
If all is specified, interpret it as the full default source set.
Retrieval Order
This is a knowledge-base-first skill. Search in this order unless the user overrides it:
ZoteroObsidian- local
papers/andliterature/ IEEE XploreScienceDirectACM Digital Library- broader web
Graceful degradation rules:
- If a source is unavailable, do not fail.
- Skip it silently.
- Continue to the next source.
External Search Policy
For external search:
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.
- 13d ago First seen · 298 lines · 83 tokens per session scan A 9fefbc15dae6
comm-lit-review 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 83 tokens to every session and 2,112 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.
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