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.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-perturbation -a windsurf -y
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. |
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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