attack-resilience-scoring

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Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

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) dependencies: sops: - spawn-agent

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

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
spawn-agent Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill attack-resilience-scoring
Repository Details
star Stars 331
call_split Forks 25
navigation Branch main
article Path SKILL.md
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