apply-perturbation
Skill504 starsChanged 49 days agoApache-2.0View on GitHub
Apply a controlled change to an assumption, factor, component, parameter, or condition and record response.
1 other project uses a version of this.
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- yogsoth-ai/de-anthropocentric-research-engineword for word, first seen Sep 25, 2026
Other versions1 project uses a version of this.
Word for word · 1
- yogsoth-ai/de-anthropocentric-research-engine★ 505100% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
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
- Record the baseline artifact, target, axis, response metric, and comparison direction.
- Generate the caller-specified variation, removal, negation, or ablation conditions.
- Re-evaluate the response at each condition and attach evidence and uncertainty.
- 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-removalline 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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