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.
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-cascadegit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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.
[](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/assumption-cascade)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/assumption-cascade"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/assumption-cascade/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/assumption-cascade"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/assumption-cascade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 48 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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.
| Model | Per session | Once 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 |
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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- assumption-cascade — 100% identical, 0 lines differ
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
- key-assumptions-check surfaces all assumptions (explicit and implicit)
- assumption-cascade-tracer builds dependency graph (which assumptions depend on which)
- Root assumptions identified (those with no upstream dependencies)
- devils-advocacy constructs strongest attack against each root assumption
- probe-execution tests root assumptions — if root fails, trace downstream cascade
- assumption-cascade-tracer maps full cascade: which conclusions collapse if root fails
- 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. |
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.
- 6d ago First seen · 63 lines · 29 tokens per session scan A 465f81fff0c5
assumption-cascade is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (449 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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