environment-specification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/environment-specification

Define the complete experiment runtime environment specification including hardware, software, data, and configuration to ensure experiments can be precisely reproduced across different times and locations.

SKILL.md

.github/skills/environment-specificationView on GitHub ↗
---
name: environment-specification
description: "SOP: define complete experiment environment specification"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by:
  - reproducibility-protocol
shared:
  - implementation-planning
input: "Experiment design + hardware requirements + software dependencies"
output: "Complete environment spec (hardware/software/data/configuration)"
---

# SOP: Environment Specification

Define the complete experiment runtime environment specification including hardware, software, data, and configuration to ensure experiments can be precisely reproduced across different times and locations.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Environment specification requires systematically enumerating all factors that could affect experiment results — from GPU model to library versions to OS settings — demanding meticulous checklist-style work.

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.