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WorldThreatModel

CommunityPopular
danielmiessler
WorldThreatModel

Persistent world-model harness that stress-tests ideas, strategies, and investments against 11 time horizons from 6 months to 50 years, each a deep analysis of geopolitics, tech, economics, society, and security, in Fast/Standard/Deep tiers. USE WHEN threat model, world model, test idea, future analysis, time horizon, stress test against future, long-term risk. NOT FOR single-shot idea attack (use RedTeam).

Overview

Publisherdanielmiessler
RepositoryLifeOS
Skill nameWorldThreatModel
Stars
19K
Forks
2.5K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by danielmiessler on GitHub. Read the source before you install it.

Installation

Install the WorldThreatModel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/danielmiessler/LifeOS.git /tmp/LifeOS
mkdir -p .claude/skills
cp -r /tmp/LifeOS/LifeOS/install/skills/WorldThreatModel .claude/skills/WorldThreatModel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable WorldThreatModel in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads WorldThreatModel on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so WorldThreatModel is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

World Threat Model Harness

What It Does

Stress-tests an idea, strategy, or investment against 11 time horizons from 6 months to 50 years. Each horizon is a deep (~10 page) world model covering geopolitics, technology, economics, society, environment, security, and wildcards. Three speed tiers: Fast (~2 min, single synthesizer), Standard (~10 min, 11 parallel agents plus RedTeam and FirstPrinciples), Deep (~1 hr, adds Research and Council). Three workflows: TestIdea returns a probability-weighted scenario matrix across all 11 horizons; UpdateModels and ViewModels handle the rest. (A dedicated TestScenario workflow for named alternative-future scenarios is planned, not yet built — scenario files under Scenarios/ are consumed by TestIdea today.)

The Problem

Most plans get tested against the present, or against the next year or two at most — so they break the moment the world shifts on a timeline you never modeled. A strategy that looks great at the 1-year horizon can be fatal at 10 years, and a 50-year bet can ignore the near-term cascade that kills it first. Holding all those horizons in your head at once, with real geopolitical, economic, and technological reasoning behind each, is more than any single pass can do. This harness keeps 11 persistent world models warm and runs your idea against all of them at the same time, with adversarial analysis on top.

How It Works

A system of 11 persistent world models spanning 6 months to 50 years. Each model is a deep (~10 page) analysis of geopolitics, technology, economics, society, environment, security, and wildcards for that time horizon. Ideas, strategies, and investments are tested against ALL horizons simultaneously using adversarial analysis (RedTeam, FirstPrinciples, Council).

Workflow Routing

WorkflowTriggerFile
TestIdea"test idea", "test strategy", "test investment", "how will this hold up", "stress test", "test against future" — test any input against all 11 world modelsWorkflows/TestIdea.md
UpdateModels"update world model", "update models", "refresh models", "new analysis" — refresh world model content with new research/analysisWorkflows/UpdateModels.md
ViewModels"view world model", "show models", "current models", "model status" — read and summarize current world model stateWorkflows/ViewModels.md

Tier System

All workflows support three execution tiers:

TierTarget TimeStrategyWhen to Use
Fast~2 minSingle agent synthesizes across all modelsQuick gut-check, casual exploration
Standard~10 min11 parallel agents + RedTeam + FirstPrinciplesMost use cases, good depth/speed balance
DeepUp to 1 hr11 parallel agents + per-horizon Research + RedTeam + Council + FirstPrinciplesHigh-stakes decisions, major investments

Default tier: Standard. User specifies with "fast", "deep", or tier defaults to Standard.

World Model Storage

Models are stored at: $LIFEOS_DIR/MEMORY/RESEARCH/WorldModels/

Horizon Models (base views)

FileHorizon
INDEX.mdSummary of all models with last-updated dates
6-month.md6-month outlook
1-year.md1-year outlook
2-year.md2-year outlook
3-year.md3-year outlook
5-year.md5-year outlook
7-year.md7-year outlook
10-year.md10-year outlook
15-year.md15-year outlook
20-year.md20-year outlook
30-year.md30-year outlook
50-year.md50-year outlook

Scenario Models (alternative futures)

Stored at: $LIFEOS_DIR/MEMORY/RESEARCH/WorldModels/Scenarios/

FileScenario
great-correction-2027.mdSevere US crash (2027 ± 12mo) — AI capex burst + housing + credit cascade

Context Files

FilePurpose
ModelTemplate.mdTemplate structure for world model documents
OutputFormat.mdTemplate for TestIdea results output

Skill Integrations

This skill orchestrates multiple LifeOS capabilities:

  • RedTeam — Adversarial stress testing of ideas against each horizon
  • FirstPrinciples — Decompose idea assumptions into hard/soft/assumption constraints
  • Council — Multi-perspective debate on idea viability across horizons
  • Research — Deep research for model creation and updates

Voice Notification

Before any workflow execution:

bash
curl -s -X POST http://localhost:31337/notify \
  -H "Content-Type: application/json" \
  -d '{"message": "Running the WORKFLOWNAME workflow in the WorldThreatModel skill to ACTION"}' \
  > /dev/null 2>&1 &

Then output: Running the **WorkflowName** workflow in the **WorldThreatModel** skill to ACTION...

Customization Check

Before execution, check for user customizations at: ~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/WorldThreatModel/

Gotchas

  • 11 time horizons (6mo-50yr). Don't over-index on short-term predictions — the value is in long-term structural analysis.
  • Threat models are hypothetical. Present as scenarios with probability ranges, not predictions.
  • Update models when major world events occur. Static threat models decay in accuracy.

Examples

Example 1: Test an investment thesis

User: "threat model my bet on AI-first content creation"
→ Analyzes across 11 time horizons (6mo to 50yr)
→ Identifies structural risks at each horizon
→ Returns probability-weighted scenario matrix

Example 2: Stress test a strategy

User: "what could go wrong with our newsletter business model?"
→ Maps threat vectors: market, technology, regulatory, competitive
→ Returns prioritized risk register with mitigations

Execution Log

After completing any workflow, append a single JSONL entry:

bash
echo '{"ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","skill":"WorldThreatModel","workflow":"WORKFLOW_USED","input":"8_WORD_SUMMARY","status":"ok|error","duration_s":SECONDS}' >> ~/.claude/LIFEOS/MEMORY/SKILLS/execution.jsonl

Replace WORKFLOW_USED with the workflow executed, 8_WORD_SUMMARY with a brief input description, and SECONDS with approximate wall-clock time. Log status: "error" if the workflow failed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the WorldThreatModel AI skill do?

Persistent world-model harness that stress-tests ideas, strategies, and investments against 11 time horizons from 6 months to 50 years, each a deep analysis of geopolitics, tech, economics, society, and security, in Fast/Standard/Deep tiers. USE WHEN threat model, world model, test idea, future analysis, time horizon, stress test against future, long-term risk. NOT FOR single-shot idea attack (use RedTeam).

Why use WorldThreatModel on TypingMind?

Because you install it once and use it with any model. WorldThreatModel is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install WorldThreatModel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/WorldThreatModel. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use WorldThreatModel?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with WorldThreatModel?

As many as you like. As long as a model supports skills, you can use WorldThreatModel with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the WorldThreatModel AI skill free?

Yes. It is published on GitHub by danielmiessler under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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