LifeOS is an AI-assisted personal operating system that records a person’s goals, values, context, and current situation to help move them toward a desired future state. It supports work such as building applications, starting businesses, and creative projects. Its catalogue entries extend the system through skills, hooks, agents, and commands.
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 danielmiessler/LifeOS --skill worldthreatmodelgit clone --depth 1 https://github.com/danielmiessler/LifeOSWrote 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/danielmiessler/lifeos/worldthreatmodel)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/worldthreatmodel"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/worldthreatmodel/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/danielmiessler/lifeos/worldthreatmodel"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/worldthreatmodel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 93 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00094 | $0.01634 |
| Opus 5 | $0.00047 | $0.00817 |
| Sonnet 5 | $0.00019 | $0.00327 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
WorldThreatModel scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://localhost:31337/notify \ How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
| Workflow | Trigger | File |
|---|---|---|
| TestIdea | "test idea", "test strategy", "test investment", "how will this hold up", "stress test", "test against future" — test any input against all 11 world models | Workflows/TestIdea.md |
| UpdateModels | "update world model", "update models", "refresh models", "new analysis" — refresh world model content with new research/analysis | Workflows/UpdateModels.md |
| ViewModels | "view world model", "show models", "current models", "model status" — read and summarize current world model state | Workflows/ViewModels.md |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 138 lines · 94 tokens per session scan A aace16d565e4
WorldThreatModel is a skill published in the GitHub repository danielmiessler/LifeOS (18,932 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 1,634 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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