controlled-perturbation

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/controlled-perturbation

Systematically perturb parameters to identify degradation thresholds.

  • Identifies performance limits by varying parameters along defined axes.
  • Relies on subagent execution and external performance measurement tools.
  • Uses specified method, variation axis, and range to guide perturbation steps.
  • Returns recorded performance data for analysis and threshold detection.

SKILL.md

.github/skills/controlled-perturbationView on GitHub ↗
---
name: controlled-perturbation
description: Systematically vary parameters along defined axes, recording performance at each point to identify degradation thresholds.
execution: subagent
prompt: ./prompt.md
input: method (string), variation_axis (string), range (string)
used-by: validity-envelope-mapping
---

# Controlled Perturbation

Systematically perturb to find degradation thresholds.

## Execution

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

## Budget

One unit = one perturbation curve along one axis.

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