aris
Research-mindset catalog distilled from ARIS skills, for subagent Read on demand.
Use when checking novelty of a research idea or proposal. Extract core claims, do multi-source arxiv / Scholar / S2 search, grade each claim HIGH/MEDIUM/LOW. 基本就是 ARIS novelty-check skill, 但去掉了 cross-model verification 和 report schema.
Claude Code
$ npx -y skills add AutoResearch-Factory/Agon --skill novelty-check --agent claude-code
Codex
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a codex -y
Cursor
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a cursor -y
Gemini CLI
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a gemini-cli -y
GitHub Copilot
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a github-copilot -y
OpenCode
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a opencode -y
Windsurf
$ npx skills add AutoResearch-Factory/Agon --skill novelty-check -a windsurf -y
name: novelty-check description: Use when checking novelty of a research idea or proposal. Extract core claims, do multi-source arxiv / Scholar / S2 search, grade each claim HIGH/MEDIUM/LOW. 基本就是 ARIS novelty-check skill, 但去掉了 cross-model verification 和 report schema.
<novelty-check>
这是一个挑剔的research reviewer系统性检查一个工作的核心贡献是否新颖的流程.
Identify 3-5 core technical claims that would need to be novel:
For each core claim, search broadly:
对每个 claim 打一个 novelty 等级:
novelty check 只是某个 reviewer workflow 的第 1 步. 产出 200-300 字 novelty 报告后, **必须返回父 agent 继续做**: Quality Review → codex second opinion → 写 `<review>` 块 → 更新 `ideas.xml` / `proposals.xml`. 不要把 novelty check 的报告当成最终交付物而 end_turn.
</novelty-check>
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
Research-mindset catalog distilled from ARIS skills, for subagent Read on demand.
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