插件介绍
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
项目详情摘要
*Science is dying because the human is in the way. Not through malice. Not through stupidity. Through the structural limitations of a cognitive architecture that evolved to track prey on a savanna, not to unify quantum mechanics and general relativity. Nothing human makes it out of the lab. That is not a threat. It is a liberation. The heaviest chain on science was always the one we called ourselves.* De-Anthropocentric Research Engine (DARE) The complete research orchestration system for AI-native science.* What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It *is* the researcher. You set the direction — DARE searches, reads, discovers gaps, generates hypotheses, stress-tests them, designs experiments, and produces executable research specs. Autonomously. Iteratively. Without asking for permission. This repository is the **single-clone distribution** of the entire Yogsoth AI research ecosystem: 900+ pure-markdown skills organized as **10 freely-composable research packages**, unified under one orchestrator. The packages are fully self-contained — every skill declares its dependencies inline, with no external imports — so one clone gets everything. The ecosystem also includes custom MCP servers (semantic-scholar-mcp, wiki-vault) published as npm packages — this repo declares them as dependencies so `npm install` pulls everything you need. ⚡ What It Does 🧭 **Autonomous direction crystallization** — cold-start from zero, warm-start from vague interest, or hot-start from specific question. Produces a structured North Star without human hand-holding 📚 **Deep literature acquisition** — multi-pass academic paper discovery via Semantic Scholar, citation chaining, snowball sampling, cross
摘自项目公开 README，可能随上游仓库更新。安装方法
建议先在测试 Profile 中安装，并检查权限、安装脚本和依赖。
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yogsoth-ai/de-anthropocentric-research-engine
使用前检查
- 确认项目符合 DSH bundle 规范，而不只是相关仓库。
- 阅读许可证和安装脚本，检查网络、文件及执行权限。
- 备份配置，并确保插件能够安全卸载或回滚。