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ARIS Agent Guide

AI community intermediate

Description

> **For AI agents reading this repo.** If you are a human, see [README.md](README.md). ARIS is a research harness: composable Markdown skills that orchestrate the ML research lifecycle through cross-m

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

Repository README

This is the README for wanshuiyin/Auto-claude-code-research-in-sleep, shared by 4 entries in this directory. It describes the repository, not this entry specifically.

ARIS Agent Guide

**For AI agents reading this repo.** If you are a human, see [README.md](README.md).

ARIS is a research harness: composable Markdown skills that orchestrate the ML research lifecycle through cross-model adversarial collaboration.

How to Invoke Skills

**Claude Code / Cursor / Trae:**

/skill-name "arguments" — key: value, key2: value2

**Codex CLI:**

/skill-name "arguments" — key: value

Codex skills are in `skills/skills-codex/`.

Common Parameters

Every skill accepts:

— effort: lite | balanced | max | beast      # work intensity (default: balanced)
— human checkpoint: true | false             # pause for approval (default: false)
— AUTO_PROCEED: true | false                 # auto-continue at gates (default: true)

Workflow-specific:

— difficulty: medium | hard | nightmare      # reviewer adversarial level
— venue: ICLR | NeurIPS | ICML | ...        # target venue
— sources: web, zotero, deepxiv, ...        # literature sources
— gpu: local | remote | vast | modal         # GPU backend

Parameters pass through workflow chains automatically.

Workflow Index

Full Pipeline

/research-pipeline "direction" → W1 → W1.5 → W2 → W3

Individual Workflows

Workflow Invoke Input Output When to use
W1: Idea Discovery /idea-discovery "direction" research direction IDEA_REPORT.md, EXPERIMENT_PLAN.md Starting new research
W1.5: Experiment Bridge /experiment-bridge EXPERIMENT_PLAN.md running code, EXPERIMENT_LOG.md Have a plan, need to implement
W2: Auto Review /auto-review-loop "scope" paper + results improved paper Iterative improvement
W3: Paper Writing /paper-writing "NARRATIVE_REPORT.md" narrative report paper/main.pdf Ready to write
W4: Rebuttal /rebuttal "paper/ + reviews" paper + reviews PASTE_READY.txt Reviews received

Standalone Skills

Skill Invoke What it does
/research-lit "topic" Literature survey Finds papers, builds landscape
/idea-creator "direction" Idea generation Brainstorms and ranks ideas
/novelty-check "idea" Novelty verification Checks against existing work
/research-review "draft" External review GPT-5.4 xhigh deep critique
/experiment-audit Integrity check Cross-model audit of eval code
/result-to-claim Verdict judgment Codex judges if claims are supported
/paper-plan "topic" Outline creation Structured outline + claims matrix
/paper-figure "plan" Figure generation Plots from experiment data
/paper-write "plan" LaTeX drafting Section-by-section with citation check
/paper-compile "paper/" PDF compilation Multi-pass with auto-repair
/research-wiki init Knowledge base Persistent project memory
/meta-optimize Self-improvement Analyze usage, propose skill edits
`/a