Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: occurrence-scoring
description: Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
execution: subagent
prompt: ./prompt.md
input: failure_modes (string), chains (string)
used-by: [failure-anticipation]
---
# Occurrence Scoring
Rates each failure mode's occurrence probability on a 1-10 scale.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Occurrence estimation requires probabilistic reasoning isolated from severity and detection considerations. Prevents halo effects.
## Input
- **failure_modes**: Failure mode catalog
- **chains**: Cause chains (for root cause probability assessment)
## Output
- **scores**: List of (failure_mode_id, occurrence_score, justification)
- **uncertainty_flags**: Modes where occurrence is highly uncertain
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