Rate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact.
Scanned 6/1/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill detection-scoring --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: detection-scoring
description: "Rate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact."
execution: subagent
prompt: ./prompt.md
input: failure_modes (string), chains (string)
used-by: [failure-anticipation]
---
# Detection Scoring
Rates each failure mode's detectability on an inverted 1-10 scale (10 = hardest to detect).
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Detection assessment requires reasoning about observability and monitoring independent of severity/occurrence. Isolated context ensures unbiased evaluation.
## Input
- **failure_modes**: Failure mode catalog
- **chains**: Effect chains (to assess where detection could occur)
## Output
- **scores**: List of (failure_mode_id, detection_score, justification)
- **detection_gaps**: Modes with no current detection mechanism
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