Skip to main content
ClaudeWave
Skill329 repo starsupdated 5d ago

attack-resilience-scoring

This Claude Code skill computes a quantitative resilience score (0.0-1.0) for artifacts evaluated through red team testing by analyzing aggregated vulnerabilities, coverage metrics, and severity distribution across logical, empirical, methodological, and practical dimensions. Use it when you need an objective, bias-independent assessment of how well a system withstands identified attacks relative to test coverage.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine /tmp/attack-resilience-scoring && cp -r /tmp/attack-resilience-scoring/skills/attack-resilience-scoring ~/.claude/skills/attack-resilience-scoring
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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