attack-resilience-scoring

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/attack-resilience-scoring

Calculates system resilience score from attack findings and coverage data

  • Evaluates security posture using vulnerability data and test coverage
  • Requires aggregated findings and coverage metrics as input
  • Weights severity distribution against untested surface areas
  • Produces numeric score with dimensional breakdown and confidence rating

SKILL.md

.github/skills/attack-resilience-scoringView on GitHub ↗
---
name: attack-resilience-scoring
description: Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution.
execution: subagent
prompt: ./prompt.md
input: aggregated_findings (string), coverage_data (string)
used-by: [red-teaming]
---

# Attack Resilience Scoring

Computes a quantitative resilience score for the artifact based on red team results.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Scoring requires calibrated judgment independent of attack or defense bias. The scorer must weigh findings objectively against coverage.

## Input

- **aggregated_findings**: Deduplicated vulnerability report from finding-aggregation
- **coverage_data**: What percentage of threat surfaces were tested, at what depth

## Output

- **resilience_score**: 0.0-1.0 overall score
- **dimension_scores**: Per-dimension breakdown (logical, empirical, methodological, practical)
- **confidence_in_score**: How much to trust the score given coverage gaps
- **verdict**: Pass/conditional-pass/fail with justification

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