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Map Ablation Components

ASecurity

Map system structure into ablatable units, dependencies, legal removal/replacement operations, and expected contribution hypotheses.

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  • Added September 24, 2026
research

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A100/100

Scanned September 24, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-ablation-components --agent claude-code

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SKILL.md
---
name: map-ablation-components
description: "Map system structure into ablatable units, dependencies, legal removal/replacement operations, and expected contribution hypotheses."
---

# map-ablation-components

## Purpose

Map system structure into ablatable units, dependencies, legal removal/replacement operations, and expected contribution hypotheses.

## Input contract

```yaml
required: [system_structure, component_dependencies, removal_constraints]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]
```

## Procedure

1. Validate the typed inputs and state the decision this operation must support.
2. Apply the declared operation to the named object; record intermediate values that affect interpretation.
3. Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.

## Output contract

```yaml
produces: [map_ablation_components_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]
```

## Quality gates

- Inputs are named scientific objects with compatible schemas.
- Every material result has a derivation or source reference.
- Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.

## Failure and counterexamples

Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.

## Provenance map

- intermediate: experiment-execution/ablation-component-mapping

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