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Skill

/analyze-leaderboard-dynamics

Analyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-leaderboard-dynamics --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/analyze-leaderboard-dynamics

Context 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.

SKILL.md

analyze-leaderboard-dynamics.SKILL.md
name: analyze-leaderboard-dynamics
description: "Analyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts."

analyze-leaderboard-dynamics

Purpose

Analyze leaderboard score distributions, compression or saturation, anomalies, selective reporting, and regime shifts.

Input contract

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]

Procedure

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.

Output contract

produces: [leaderboard_distribution, regime_segments, anomaly_report, saturation_assessment]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Every reported regime or anomaly must cite the records and comparison basis.
  • Do not compare scores across incompatible protocols without an explicit limitation.

Failure and counterexamples

Do not treat rank order as progress when metric definitions or evaluation conditions changed; preserve ties and missing observations.

Provenance map

  • `resolved: leaderboard-dynamics-analysis`
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Ships withde-anthropocentric-research-engine

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.

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Python
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Apache-2.0
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Repo: yogsoth-ai/de-anthropocentric-research-engine