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…
SOP for validating that candidate axes are independent and meaningful.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill axis-validation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/axis-validationContext preview
The summary Claude sees to decide when to auto-load this skill.
SOP for validating that candidate axes are independent and meaningful.
name: axis-validation description: SOP for validating that candidate axes are independent and meaningful. execution: sop
Verify that candidate dimensions are truly independent and meaningful.
`vault_query_graph` + `vault_search`
1. For each pair of candidate dimensions, check: can one change without the other changing? 2. Search literature for examples where dimensions vary independently 3. If dimensions always co-vary, merge them into one 4. If a dimension has only 1 value in practice, it's not a useful dimension — remove it
<HARD-GATE> Must test pairwise independence for all candidate dimensions. </HARD-GATE>
Returns: `{ validated: string[], merged: string[], removed: string[] }`
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
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