abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Collect judgments/rankings from multiple genuinely independent evaluators or perspectives before exposing any peer outputs, preserving ballots and rationale for later social-choice aggregation.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill collect-independent-judgments -a windsurf -y
name: collect-independent-judgments description: "Collect judgments/rankings from multiple genuinely independent evaluators or perspectives before exposing any peer outputs, preserving ballots and rationale for later social-choice aggregation."
Collect blinded judgments from genuinely independent evaluators or perspectives before exposing peer outputs.
required: [judgment_prompt, evaluator_roster, candidate_set, independence_rules] optional: [rubric, response_deadline, abstention_policy] constraints: [evaluators receive no peer judgments; each ballot preserves rationale and provenance]
1. Freeze the candidate set, rubric, prompt, and independence rules before collection. 2. Obtain one sealed judgment and rationale per evaluator, recording abstentions and unavailable evidence. 3. Check for shared data, model, prompt, or deliberation leakage before unblinding. 4. Unblind only after collection, then return ballots, independence flags, and an aggregation-ready dataset.
If independent judgments are complete and their provenance is preserved, consider `aggregate-ranking` as the next tactic.
produces: [sealed_ballots, independence_audit, rationale_set, aggregation_dataset] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not count multiple roles using the same evidence as independent judgments. An abstention is a recorded outcome, not a missing pass.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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