Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: premortem-facilitation
description: Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight.
execution: subagent
prompt: ./prompt.md
input: artifact (string), artifact_type (string), budget (string)
used-by: [failure-anticipation]
---
# Pre-Mortem Facilitation
Executes the Klein (2007) pre-mortem protocol to generate failure scenarios.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Pre-mortem requires adopting a specific temporal frame (future failure as fact). Isolated context prevents contamination from optimistic bias.
## Input
- **artifact**: The artifact to analyze
- **artifact_type**: Type classification for tailored prompting
- **budget**: S/M/L controlling scenario count
## Output
- **scenarios**: List of plausible failure scenarios with narrative descriptions
- **plausibility_ranking**: Ordered by perceived likelihood
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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...