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/design-randomness-protocol

Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-randomness-protocol --agent claude-code

SKILL.md

design-randomness-protocol.SKILL.md
name: design-randomness-protocol
description: "Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level."

design-randomness-protocol

Purpose

Identify randomness sources and define seed/repetition/propagation rules sufficient for the intended reproducibility level.

Input contract

required: [randomness_sources, reproducibility_target, run_plan]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]

Procedure

1. Validate the typed inputs and state the decision this operation must support. 2. Apply the declared operation to the named object; record intermediate values that affect interpretation. 3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.

Output contract

produces: [design_randomness_protocol_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]

Quality gates

  • Inputs are named scientific objects with compatible schemas.
  • Every material result has a derivation or source reference.
  • Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.

Failure and counterexamples

Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.

Provenance map

  • intermediate: experiment-execution/seed-protocol-design
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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.

Stars on GitHub

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Questions about design-randomness-protocol.

Which coding agents can use design-randomness-protocol?
design-randomness-protocol 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.