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wanshuiyin/Auto-claude-code-research-in-sleep

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Latest metrics (snapshot 2026-10-14)

stars17476
forks1470
issues75
pushed_at2026-10-07T07:46:15Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1417476

ADC Momentum: 65/100

ADC Momentum 65 Leaderboard

Growth velocity84
Consistency67
Recency69
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
urlhttps://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
languagePython
licenseMIT
topicsai-research
ai-tools
aris
autonomous-agent
claude
claude-code
claude-code-skills
codex
deep-learning
gpt
idea-generation
llm
created_at2026-03-10T07:31:45Z

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