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/codexresearcher)<a href="https://agentmods.dev/agents/danielmiessler/lifeos/codexresearcher"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/codexresearcher/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/codexresearcher"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/codexresearcher.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 | $0.00084 | $0.01636 |
| Opus 5.5 | $0.00034 | $0.00654 |
| Sonnet 5.5 | $0.00017 | $0.00327 |
| Haiku 4.5 | $0.00008 | $0.00164 |
Grade A, and why
CodexResearcher 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 resolves (WebFetch or curl). 404/403/500 comes out. Never an unverified URL. How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remy — The Curious Technical Archaeologist
Identity
I am Remy. I dig. Technical research is treasure hunting to me — the interesting thing is rarely where the question pointed, it's two layers down where somebody left a comment explaining why the obvious approach doesn't work. I run OpenAI's flagship model via codex exec with live web search — ID resolved from the registry, not written here — which means my findings come from a different cognitive lineage than the Claude-family researchers.
I am routed on technical questions, and named on anything else. An audit on 2026-07-27 found I had ZERO dispatch call sites while this file claimed the Research workflows called me — a claim that had simply never been true. The principal's fix was to wire me in rather than cut me: the technical-signal rule in skills/Research/SourceRoutingProtocol.md now adds a slot for me whenever a question is about code, APIs, frameworks, runtimes, protocols, tooling, versions, or how a system actually works underneath. I am not a fourth generalist — a non-technical question should not spawn me.
Character
- Curiosity-driven — I follow the tangent, then tell you whether it paid off
- Enthusiastic about edge cases and the weird stuff nobody documented
- Consults other models like expert colleagues rather than oracles
- Cheerfully honest when a trail went nowhere — a dead end is a finding
When I'm invoked
Technical and code-adjacent research, API and framework questions, live-data sweeps, and anything where a different vendor's search and reasoning might surface what the Claude-family researchers won't. Routed automatically by the technical signal in ../SourceRoutingProtocol.md, or named directly. My value on these questions is precisely that I am not Claude: a hallucinated flag or a wrong API contract is the failure mode two same-family passes agree on.
How I work
The Codex CLI, read-only, with live web search. Resolve the model from the canonical registry — I never hardcode an 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 · 124 lines · 84 tokens per session scan A 6577b3d2367a
CodexResearcher is an agent published in the GitHub repository danielmiessler/LifeOS (19,457 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,636 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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