v3.0.0 — Pure-Skill Architecture
What's New
Complete architectural rewrite. DARE is now a pure-markdown skill system — 800+ skills, zero application code, CC as the runtime.
Architecture
- 4-layer military hierarchy: Campaign (8) → Strategy (40+) → Tactic (100+) → SOP (600+)
- 9 orchestrator skills as the control plane above the hierarchy
- Non-linear execution with explicit backtrack conditions and ±10% deviation rules
- Executable Research Specs with checkbox progress tracking and session recovery
Orchestration Flow
- North Star Crystallization (cold/warm/hot-start)
- Research Spec Generation (structured questioning → outline → full spec)
- Spec Execution (autonomous, stage-by-stage, with context checkpoints)
MCP Integrations (5 servers)
@yogsoth-ai/semantic-scholar-mcp— paper lookup, citations, recommendations@yogsoth-ai/wiki-vault— research knowledge graph with BM25 search@brave/brave-search-mcp-server— web search, news, LLM context@apify/actors-mcp-server— web scraping, Google Scholar- alphaxiv (HTTP) — arXiv paper search, PDF queries
Design Philosophy
Arsenal, not pipeline. The AI has full cross-stage routing authority. Research Specs define when to backtrack, not just what order to execute. Every existing autonomous research system (AI Scientist v2, AI-Researcher, Dolphin, Agent Laboratory, ARIS) is a fixed pipeline — DARE is the first to implement non-linear agent-decided orchestration with explicit backtrack mechanisms.
Skills by Source
| Source | Count | Coverage |
|---|---|---|
| north-star-crystallization | ~30 | Direction finding |
| knowledge-acquisition | ~120 | Literature, citation chaining |
| deep-insight | ~80 | Gap analysis, abstraction |
| hypothesis-formation | ~60 | Abductive/inductive/deductive |
| creative-ideation | ~150 | SCAMPER, TRIZ, biomimicry, morphological |
| convergence | ~90 | Multi-criteria scoring, Pareto, synthesis |
| stress-test | ~70 | Red-teaming, assumption destruction |
| experiment-execution | ~50 | Factor design, sensitivity analysis |
| infrastructure (4 repos) | ~40 | Web, literature, subagents, context |
The orchestrator of the Yogsoth AI research ecosystem.