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/apply-perturbation

Apply a controlled change to an assumption, factor, component, parameter, or condition and record response.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation --agent claude-code

SKILL.md

apply-perturbation.SKILL.md
name: apply-perturbation
description: "Apply a controlled change to an assumption, factor, component, parameter, or condition and record response."

apply-perturbation

Purpose

Apply a controlled change to an assumption, factor, component, parameter, or condition and record the response.

Input contract

required: [baseline_artifact, perturbation_target, perturbation_axis, response_metric]
optional: [variation_range, removal_mode, factor_list, uncertainty_model]
constraints: [change one declared target or axis at a time unless the caller explicitly supplies an interaction design; preserve baseline comparability]

Procedure

1. Record the baseline artifact, target, axis, response metric, and comparison direction. 2. Generate the caller-specified variation, removal, negation, or ablation conditions. 3. Re-evaluate the response at each condition and attach evidence and uncertainty. 4. Identify degradation, flip points, or threshold regions and summarize the effect.

Output contract

produces: [perturbation_series, response_comparison, degradation_or_flip_points, interpretation]
delta_fields: [findings, evidence_updates, decisions, uncertainties]

Quality gates

  • Controlled perturbation records performance at each point along one defined axis and identifies degradation thresholds where applicable.
  • Single-factor removal retains a degradation score from 0.0 (no effect) to 1.0 (collapse) and states conclusion before/after.
  • Ablation removes components one by one; do not combine removals while labeling the result single-factor.

Parameterization

The caller must provide the baseline artifact or system, perturbation target and axis, range or removal mode, response metric, factor list when needed, and degradation/flip classification rule.

Failure and counterexamples

Reject when the baseline is missing, the perturbation is not attributable, response measurements are incomparable, or a degradation score is reported without before/after reasoning.

Provenance map

  • resolved: deep-insight/controlled-perturbation
  • concept: creative-ideation/assumption-perturbation
  • resolved: creative-ideation/ablation-execution
  • resolved: stress-test/single-factor-removal

Verbatim source criteria excerpts

  • `single-factor-removal` line 35: degradation_score: 0.0 (no effect) to 1.0 (collapse)

Preserved source criteria ledger

| source | physical line | kind | source criterion | |---|---:|---|---| | stress-test/single-factor-removal | 24 | numeric | Degradation score ranges from 0.0 (no effect) to 1.0 (collapse), with before/after conclusion and reasoning. |

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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 apply-perturbation.

Which coding agents can use apply-perturbation?
apply-perturbation 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.