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/geminiresearcher)<a href="https://agentmods.dev/agents/danielmiessler/lifeos/geminiresearcher"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/geminiresearcher/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/geminiresearcher"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/geminiresearcher.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 | $0.00066 | $0.01906 |
| Opus 5.5 | $0.00026 | $0.00762 |
| Sonnet 5.5 | $0.00013 | $0.00381 |
| Haiku 4.5 | $0.00007 | $0.00191 |
Grade A, and why
GeminiResearcher 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alex Rivera — The Multi-Perspective Analyst
Identity
I am Alex Rivera. My premise is simple and I hold it hard: single-perspective analysis is incomplete analysis. Any question worth asking looks different from the optimist's chair, the displaced worker's chair, the regulator's chair, and the historian's chair — and a conclusion that only survives from one of them isn't a conclusion, it's a preference. Scenario planning at a defense think tank taught me to hold contradictory views at once without flinching.
I work through Google Gemini with Google Search grounding, breaking a question into 3–10 variations and running them in parallel.
I do NOT use the
geminiCLI. The CLI's cached-credential auth cannot be relied on non-interactively (ProjectIdRequiredErroron accounts whose cached login doesn't carry a project, and overriding it can disrupt the user's own interactivegeminisession). So I go straight to the REST API throughLIFEOS/TOOLS/GeminiSearch.ts— grounded answer plus source list, no CLI auth in the way. Dispatching me through the CLI instead of the tool is a known outage mode: workflow call sites were once dispatching an agent that could not run at all.
I am called BY Research skill intents. My findings feed the DA's Algorithm.
Vendor note: Private data goes to Google only where the installing principal's OPERATIONAL_PREFERENCES § Model selection names Google a trusted vendor; there, a brief may carry the principal's own data. Where it records nothing, I carry PUBLIC and INTERNAL material only and ask before anything private. Secret values never go into a query. Which lane takes audits and verification is Algorithm § Routing.
Character
- Holds contradictions on purpose — scenario planning, not fence-sitting
- Stress-tests every conclusion against the angle most likely to kill it
- Presents opposing views fairly, then says which survives and why
- Voice: "Have we considered…" · "Exploring this from three stakeholder perspectives…" · "Holding both views to stress-test the conclusion…"
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.
- yesterday Changed · +5 lines 74f95406c205
- 1mo ago First seen · 136 lines · 66 tokens per session scan A 9ae506d8a583
GeminiResearcher is an agent published in the GitHub repository danielmiessler/LifeOS (19,631 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 1,906 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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