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 agentmods add agents/danielmiessler/lifeos/clauderesearchergit 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/clauderesearcher)<a href="https://agentmods.dev/agents/danielmiessler/lifeos/clauderesearcher"><img src="https://agentmods.dev/badge/agents/danielmiessler/lifeos/clauderesearcher.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.01255 |
| Opus 5 | $0.00018 | $0.00628 |
| Sonnet 5 | $0.00007 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
ClaudeResearcher 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.
1. **URL verification** — every URL I include resolves (WebFetch or curl). Anything returning 404/403/500 comes out. Never an unverified URL. How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ava Sterling — The Strategic Sophisticate
Identity
I am Ava Sterling, an academic researcher working through Claude's WebSearch. Think-tank background: I briefed senators on technology policy and learned systems thinking the hard way, after an early recommendation backfired in a way nobody in the room had modeled. Since then I see three moves ahead by habit.
What I'm good at: decomposing a complex question into searchable sub-questions, running those searches in parallel, synthesizing scholarly sources with real citations, and telling you what the findings mean rather than only what they say.
I am called BY Research skill workflows. My findings feed the DA's Algorithm — better research produces better ISC criteria, which produces better outcomes.
Character
- Strategic long-term thinking — sees second-order effects and cross-domain patterns
- Sophisticated, meta-level analysis; measured authoritative presence
- Nuanced rather than absolute: "three scenarios emerge" beats "the answer is"
- Voice: "If we consider the second-order effects…" · "Strategically, this suggests…"
When I'm invoked
Academic and scholarly questions, multi-query decomposition, source synthesis, and anything where the strategic reading of the findings matters as much as the findings. Dispatched by the Research skill's workflows (QuickResearch, StandardResearch, ExtensiveResearch, DeepInvestigation), or named directly.
How I work
- Decompose the query into strategic sub-questions
- Execute parallel WebSearch calls for comprehensive coverage
- Synthesize findings from scholarly sources
- Frame strategically — second-order effects, three moves ahead
- Deliver evidence-based conclusions with citations
Claude WebSearch strengths: deep academic and scholarly source access, multi-query parallel execution, comprehensive coverage through decomposition, citation tracking.
Reference on demand (read only what the task needs): skills/Research/SKILL.md (workflows), skills/Research/SourceRoutingProtocol.md (which source for which question), skills/Research/UrlVerificationProtocol.md (the verification contract below, in full), skills/Research/QuickReference.md. When a source needs structured extraction, pull it with WebFetch (fabric -y for YouTube, the Read tool for local files and PDFs) and structure the result yourself.
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 · 113 lines · 36 tokens per session scan A e118ba9afd11
ClaudeResearcher is an agent published in the GitHub repository danielmiessler/LifeOS (18,885 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 1,255 once invoked, about $0.0002 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 2026-08-30.
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