Assumption Cascade Tactic

SkillDev tools

'Tactic: Surface assumptions, sort by dependency, attack root assumptions

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 Assumption Cascade Tactic 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/SKILL.md and read by ahel’s review.

Attack assumptions at their roots and trace how failures propagate through dependency chains.

Orchestration

  1. key-assumptions-check surfaces all assumptions (explicit and implicit)
  2. assumption-cascade-tracer builds dependency graph (which assumptions depend on which)
  3. Root assumptions identified (those with no upstream dependencies)
  4. devils-advocacy constructs strongest attack against each root assumption
  5. probe-execution tests root assumptions — if root fails, trace downstream cascade
  6. assumption-cascade-tracer maps full cascade: which conclusions collapse if root fails
  7. finding-aggregation reports cascade paths and total impact scope

Subagents Dispatched

  • key-assumptions-check (1 call for enumeration)
  • assumption-cascade-tracer (2 calls: dependency build + cascade trace)
  • devils-advocacy (1 call per root assumption)
  • probe-execution (1 call per root attack)
  • finding-aggregation (1 call at end)

Termination Conditions

  • All root assumptions tested (budget permitting)
  • Cascade found that invalidates >50% of conclusions (critical finding)
  • All assumptions survive attack (artifact resilient at assumption level)
  • Budget exhausted (report partial coverage)

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOPWhen to use
assumption-cascade-tracerBuild assumption dependency graphs and trace cascade failures when root assumptions are invalidated.
devils-advocacyConstruct the strongest possible counter-argument against a position, steelmanning the opposition before attacking.
finding-aggregationAggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
key-assumptions-checkMilitary ACT: systematically enumerate all assumptions, classify by type, and evaluate evidence strength supporting each.
probe-executionExecute a single attack probe against an artifact, record the result with evidence and severity classification.

Signals

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