occurrence-scoring

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Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.

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

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) dependencies: sops: - spawn-agent

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

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 occurrence-scoring
Repository Details
star Stars 331
call_split Forks 25
navigation Branch main
article Path SKILL.md
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