assumption-cascade

assumption-cascade is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 29 tokens per session (544 once invoked), scanned A, a copy of assumption-cascade, Apache-2.0.

A reasoning method for finding assumptions, testing the ones other assumptions depend on, and tracing the consequences if they fail. It uses dependency mapping, challenge arguments, probes, and a final summary of the impact.

In plain words
What is it for?
Use it to list explicit and hidden assumptions, build an assumption-dependency graph, challenge and test root assumptions, trace downstream failures, and report the total scope of the impact.
Why use it?
It focuses attention on foundational beliefs first, so a failed root assumption can reveal which later conclusions no longer hold. This helps expose weaknesses that a checklist of independent assumptions might miss.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to list explicit and hidden assumptions, build an assumption-dependency graph, challenge and test root assumptions, trace downstream failures, and report the total scope of the impact.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/assumption-cascade
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yogsoth-ai/stress-test --skill assumption-cascade
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for assumption-cascade

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/assumption-cascade.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/assumption-cascade)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/assumption-cascade"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/assumption-cascade.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00544
Opus 5 $0.00015 $0.00272
Sonnet 5 $0.00006 $0.00109
Haiku 4.5 $0.00003 $0.00054

Measured 7d ago against content hash 465f81fff0c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

assumption-cascade scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to assumption-cascade — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/assumption-cascade/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assumption Cascade Tactic

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.

SOP When to use
assumption-cascade-tracer Build assumption dependency graphs and trace cascade failures when root assumptions are invalidated.
devils-advocacy Construct the strongest possible counter-argument against a position, steelmanning the opposition before attacking.
finding-aggregation Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
key-assumptions-check Military ACT: systematically enumerate all assumptions, classify by type, and evaluate evidence strength supporting each.
probe-execution Execute a single attack probe against an artifact, record the result with evidence and severity classification.

Read the full file on GitHub · 63 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 63 lines · 29 tokens per session scan A 465f81fff0c5

Subscribe to this mod's changes

assumption-cascade is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 544 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to assumption-cascade, differing in 0 lines, and is treated as a copy.

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