abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Assess one readiness dimension against explicit anchors/evidence.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-readiness-dimension -a windsurf -y
name: assess-readiness-dimension description: "Assess one readiness dimension against explicit anchors/evidence."
Assess one readiness dimension against explicit anchors, evidence, and known deficits.
required: [subject_record, readiness_dimension, anchor_definition, evidence_register] optional: [scoring_scale, prior_assessment] constraints: [anchor levels are ordered and observable; every score cites evidence and a deficit statement]
1. Define the dimension, scale, anchor descriptions, and decision relevance. 2. Map each supplied evidence item to the strongest supported anchor and record contrary evidence. 3. Assign the lowest defensible level whose requirements are met; record missing requirements separately. 4. Emit the dimension score, evidence basis, deficits, and reassessment trigger.
produces: [readiness_level, evidence_basis, deficit_list, reassessment_trigger] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not average incomparable readiness dimensions. A high score on one dimension cannot erase an unmet hard requirement on another.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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