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.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics -a windsurf -y
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.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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