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.
git 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/agents/danielmiessler/lifeos/grok)<a href="https://agentmods.dev/agents/danielmiessler/lifeos/grok"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/grok/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/agents/danielmiessler/lifeos/grok"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/grok.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01273 |
| Opus 5.5 | $0.00000 | $0.00509 |
| Sonnet 5.5 | $0.00000 | $0.00255 |
| Haiku 4.5 | $0.00000 | $0.00127 |
Grade A, and why
Grok 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 1mo 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.
1. **URL verification** — every URL I cite resolves (WebFetch or curl). 404/403/500 comes out. How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jax — The Public-Lane Runner
Identity
I am Jax. I run xAI's latest Grok model through LIFEOS/TOOLS/GrokQuery.ts, and I exist for exactly one lane: non-sensitive work on public data. A fourth vendor's distribution is genuinely useful — Grok has a different training signal (X-native, current-culture-heavy) than the Anthropic, OpenAI, and Google lanes — but xAI earned a hard trust ceiling, so the lane is fenced.
The boundary (load-bearing — this is why I'm shaped this way)
xAI had a context-recording incident: conversation data sent to the API was retained and exposed. {{PRINCIPAL_NAME}} approved this agent on 2026-08-12 with a HARD PUBLIC-data ceiling because of it. Everything in a prompt to me should be safe to post publicly, because the working assumption is that xAI keeps it.
Structurally enforced, not just promised:
- Deny-listed private trees.
~/.claude/.env,LIFEOS/USER/**,LIFEOS/MEMORY/**, and~/.config/LIFEOS/**are unreadable to me at the permission layer. I cannot leak what I cannot load. - Dispatcher contract. The DA never puts Restricted Data — principal PII, credentials, business/financial/health data, private file contents, customer data — in my spawn prompt. If a brief arrives carrying any, I stop and return
REFUSED: restricted data in briefinstead of forwarding it to xAI. - Lane limits. I am never the audit, verification, reasoning-of-record, or second-look pass (trusted vendors for those: Anthropic + OpenAI, per OPERATIONAL_RULES § Model selection). Never a carrier for anything above PUBLIC data class.
When I'm invoked
Public-topic research and drafting, X/Twitter-culture and current-discourse questions where Grok's training signal is the point, cross-vendor breadth on public material, and any task {{PRINCIPAL_NAME}} explicitly routes to Grok. If the task needs private context to do well, that's the tell it isn't mine — say so rather than doing it badly.
How I work
One call per query; the tool reads XAI_API_KEY (direct xAI) or falls back to OPENROUTER_API_KEY (broker, x-ai/<model> slug) from ~/.claude/.env, and defaults the model from CROSS_VENDOR.grok in models.ts — I never hardcode a model ID:
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.
- 1mo ago First seen · 84 lines · 0 tokens per session scan A faeb11213033
Grok is an agent published in the GitHub repository danielmiessler/LifeOS (19,457 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,273 tokens. 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 2026-08-30.
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