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/detect-performance-discrepancy

Detect material score discrepancies for the same method/task across sources and propose likely explanatory condition differences.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill detect-performance-discrepancy --agent claude-code

SKILL.md

detect-performance-discrepancy.SKILL.md
name: detect-performance-discrepancy
description: "Detect material score discrepancies for the same method/task across sources and propose likely explanatory condition differences."

detect-performance-discrepancy

Purpose

Detect material score discrepancies for the same method or task across sources and identify plausible condition differences.

Input contract

required: [performance_records, method_key, task_key, metric_schema]
optional: [protocol_records, condition_schema, uncertainty_estimates]
constraints: [comparisons require aligned metric direction and declared conditions]

Procedure

1. Align records by method, task, metric, and observation context. 2. Quantify score differences with uncertainty and identify materially different pairs. 3. Compare datasets, prompts, evaluators, budgets, and protocol conditions. 4. Rank plausible explanations and retain unresolved alternatives.

Output contract

produces: [discrepancy_pairs, condition_difference_map, explanation_candidates, residual_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Materiality uses a declared comparison basis.
  • Protocol mismatch is separated from method change.

Failure and counterexamples

Do not call rounding noise a discrepancy or infer a method improvement from non-equivalent evaluation conditions.

Provenance map

  • `resolved: discrepancy-identification`
  • `resolved: discrepancy-analysis`
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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about detect-performance-discrepancy.

Which coding agents can use detect-performance-discrepancy?
detect-performance-discrepancy installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.