formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Present the GoalTree to the user for confirmation. Ask about reasonableness,
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ask-decomposition-validation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ask-decomposition-validationContext preview
The summary Claude sees to decide when to auto-load this skill.
Present the GoalTree to the user for confirmation. Ask about reasonableness,
name: ask-decomposition-validation description: Present the GoalTree to the user for confirmation. Ask about reasonableness, missing elements, and priority ordering among sub-goals. execution: dialogue
Get user confirmation of the goal decomposition.
Dialogue — inline, no subagent.
User-confirmed GoalTree + priority ordering.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply.…
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's…
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the…
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to…
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall…