Assumption Cascade Tracer
SkillDev toolsBuild assumption dependency graphs and trace cascade failures when root
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Assumption Cascade Tracer skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assumption-cascade-tracer/SKILL.md and read by ahel’s review.
Maps assumption dependencies and traces how failures propagate through the dependency graph.
Execution
Subagent — spawned via subagent-spawning/spawn-agent.
Why Subagent
Cascade tracing requires systematic graph analysis without bias toward minimizing impact. The tracer must follow every dependency path honestly.
Input
- assumptions: List of assumptions with their dependency relationships
- attack_results: Results from probing root assumptions (which ones failed)
Output
- dependency_graph: Directed graph of assumption dependencies
- cascade_paths: For each failed root, the full list of downstream conclusions that collapse
- impact_scope: Percentage of artifact conclusions affected by each cascade
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. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
assumption-cascade-tracer- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine