Causal Chain Query

SkillMonitoring & ops

SOP for tracing causal chains — follow edges from cause to effect through

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Causal Chain Query skill

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/causal-chain-query/SKILL.md and read by ahel’s review.

Trace a causal chain from a starting variable through intermediate variables to downstream effects.

Tool

vault_query_graph

Protocol

  1. Call vault_query_graph with starting node, direction=out, depth=3
  2. Filter results to only causal edges (derived_from, component_of)
  3. Reconstruct the chain as an ordered sequence
  4. Identify branching points (one cause → multiple effects)
  5. Check for cycles (indicates feedback loop)

HARD-GATE

Yield

Returns: { chain: string[], branches: number, has_cycle: boolean }

Signals

GitHub stars
469
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
causal-chain-query
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine