abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Apply a controlled change to an assumption, factor, component, parameter, or condition and record response.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation --agent claude-codeHow it fires
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/apply-perturbationContext preview
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Apply a controlled change to an assumption, factor, component, parameter, or condition and record response.
name: apply-perturbation description: "Apply a controlled change to an assumption, factor, component, parameter, or condition and record response."
Apply a controlled change to an assumption, factor, component, parameter, or condition and record the response.
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]
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.
produces: [perturbation_series, response_comparison, degradation_or_flip_points, interpretation] delta_fields: [findings, evidence_updates, decisions, uncertainties]
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.
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.
| 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. |
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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