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/commands/danielmiessler/lifeos/teach-me)<a href="https://agentmods.dev/commands/danielmiessler/lifeos/teach-me"><img src="https://agentmods.dev/badge/commands/danielmiessler/lifeos/teach-me/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/commands/danielmiessler/lifeos/teach-me"><img src="https://agentmods.dev/badge/commands/danielmiessler/lifeos/teach-me.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 | $0.00074 | $0.00183 |
| Opus 5.5 | $0.00030 | $0.00073 |
| Sonnet 5.5 | $0.00015 | $0.00037 |
| Haiku 4.5 | $0.00007 | $0.00018 |
Grade A, and why
teach-me 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 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.
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.
What it actually says
teach-me — Teach skill Teach workflow
Invoke the Teach skill's Teach workflow on $ARGUMENTS:
Skill("Teach", "teach me $ARGUMENTS")
If $ARGUMENTS is empty, the topic defaults to whatever this conversation has been working on or asking about; on a fresh session with no topic, the workflow asks.
Full procedure: ~/.claude/skills/Teach/Workflows/Teach.md.
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 · 18 lines · 74 tokens per session scan A 7ecf8372dca4
teach-me is a command published in the GitHub repository danielmiessler/LifeOS (19,534 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 183 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.
Other commands, from other repositories
cn-campus-offer
A workflow for planning a Chinese university recruitment season, building a Chinese and English CV, and practising technical interviews. Campus recruitment is the process of applying to employers through university-focused hiring rounds.
gauntlet
Run an ad-hoc gauntlet challenge session (5 questions, random scope).
gauntlet-onboard
Start or resume a guided onboarding path.
welcome
60-second orientation for newcomers. Shows the two tracks (builder / creator), the four routes, the delivery menu, and where to go next. No commitment extracted — that's /intake's job.
daily-okr
Run a daily knowledge compound loop (7 KR). Invoke with /daily-okr or "start my daily review".
recap
Get a summary of everything you learned this session — concepts, quizzes, and progress.