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 skills add danielmiessler/LifeOS --skill usstatsgit 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/skills/danielmiessler/lifeos/usstats)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/usstats"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/usstats/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/skills/danielmiessler/lifeos/usstats"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/usstats.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 | $0.00226 | $0.02990 |
| Opus 5.5 | $0.00090 | $0.01196 |
| Sonnet 5.5 | $0.00045 | $0.00598 |
| Haiku 4.5 | $0.00023 | $0.00299 |
Grade A, and why
USStats 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 today.
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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
USStats
Contents: Ideal State · Intent Routing · Data Contract · Data & Config · Quick Reference · Gotchas · Examples
Query and analyze the annual US indicator dataset at the almanac endpoint named by data_url in the install config (<configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/USStats/Config.md) — read-only, keyless, no local repo dependencies. Every series carries publisher provenance (source, sourceUrl, note) and a goodDirection flag that lets the tool answer "better or worse?" deterministically.
It also reads the current US economy straight from the government APIs (ported from the retired USMetrics skill, 2026-10-10). The one count and source list for that side, read from the updater's METRICS config in Tools/UpdateSubstrateMetrics.ts on 2026-10-11: UpdateData fetches 66 indicators in 9 categories (Economic Output, Inflation, Employment, Housing, Consumer, Financial, Trade, Fiscal, Demographics) through three APIs, FRED (64 series, carrying BLS, BEA, Census, Fed and Treasury data), EIA (gas price) and Treasury FiscalData (total public debt), into the local US-Common-Metrics dataset (US-Common-Metrics.md, us-metrics-current.csv, us-metrics-historical.csv). The master document lists 68 metrics in 10 categories; its Health & Crisis rows (CDC WONDER, EPA AQS) have no fetcher and stay placeholders, and a master row the updater did not fetch is named, never silently counted. GetCurrentState produces a multi-timeframe (10y/5y/2y/1y) trend report with cross-metric analysis, pattern detection, and research recommendations from its own FRED and EIA fetch, so it does not depend on an UpdateData run. The almanac answers "over decades, annually"; the live side answers "right now, monthly and weekly".
Ideal State
- Every answer about a US indicator rests on this session's tool output from the live dataset, names the publisher of each quoted series, and judges better or worse only through
goodDirection. - Year-to-date values, methodology breaks in
note, base effects behind large percentage moves and the correlation-is-not-causation caveat reach the reader whenever they touch the numbers quoted. - A freshness question gets a per-upstream fresh or stale verdict from a
--freshrun, and nothing in the skill ever writes to the site or its upstream datasets. - Every live-economy number reported is current and carries its period and source, whether it came from GetCurrentState's own FRED and EIA fetch or from the dataset UpdateData refreshed, and preliminary or stale figures are labelled as such, never presented as final.
- A "how is the economy" answer covers the report's eight categories across the four timeframes, names the categories it does not cover (Demographics, Health & Crisis), and ends with what deserves a closer look, without claiming that one metric caused another.
- A failed source or missing key degrades the result visibly (the affected metrics named) instead of aborting it or hiding the gap.
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- Intents/Analyze.md 1.6 KB
- Intents/GetCurrentState.md 6.2 KB
- Intents/SyncCheck.md 1.6 KB
- Intents/UpdateData.md 5.1 KB
- Setup.md 3.9 KB
- Tools/FetchFredSeries.help.md 1.1 KB
- Tools/FetchFredSeries.ts 12 KB runs code
- Tools/GenerateAnalysis.help.md 990 B
- Tools/GenerateAnalysis.ts 21 KB runs code
- Tools/UpdateSubstrateMetrics.help.md 1.6 KB
- Tools/UpdateSubstrateMetrics.ts 28 KB runs code
- Tools/UsStats.ts 21 KB runs code
- Tools/UsStatsConfig.ts 1.5 KB runs code
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.
- today First seen · 156 lines · 226 tokens per session scan A 13f3e5f38017
USStats is a skill published in the GitHub repository danielmiessler/LifeOS (19,616 stars, last pushed today), licensed MIT. It adds 226 tokens to every session and 2,990 once invoked, about $0.0009 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 2026-10-28.
Other skills, from other repositories
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structural-edits
Structural search and rewrite with the astgrep and astedit tools. Use when the same pattern appears in many places, when text search matches comments or strings, or when a rename or codemod spans multiple files.
gpt-astra
Optimize agent instructions for GPT-6 Astra (Codex). Use when the user mentions Astra, Codex, GPT-6, or asks to audit/rewrite AGENTS.md, skills, or prompts for newer models.
i-have-adhd
Action-first, zero-filler replies for a reader who loses the thread in prose. Use when the user asks for terse or direct answers, says too long, get to the point, tldr, stop rambling, or when replies keep getting cut off or ignored.
echo-plugins
Build, validate, package, and stage optional Echo plugins using the Echo Plugin API v1 security and lifecycle contracts.
security-hygiene
Keeping secrets out of the conversation and treating fetched content as data, not instructions. Use when handling env files, tokens, or credentials, when reading web pages or third-party content, and before committing or posting anything externally.