abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Analyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/analyze-leaderboard-dynamicsContext preview
The summary Claude sees to decide when to auto-load this skill.
Analyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts.
name: analyze-leaderboard-dynamics description: "Analyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts."
Analyze leaderboard score distributions, compression or saturation, anomalies, selective reporting, and regime shifts.
required: [leaderboard_records, metric_schema, time_or_version_field] optional: [evaluation_protocols, source_quality, method_metadata] constraints: [scores require task, metric, condition, source, and observation provenance]
1. Normalize scores and evaluation conditions into comparable groups. 2. Inspect distributions, rank movement, compression, and missingness. 3. Identify anomalies, selective reporting, and regime changes. 4. State whether additional evidence is continuing, near-saturated, or saturated.
produces: [leaderboard_distribution, regime_segments, anomaly_report, saturation_assessment] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not treat rank order as progress when metric definitions or evaluation conditions changed; preserve ties and missing observations.
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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