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 upgradegit 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/upgrade)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/upgrade"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/upgrade/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/upgrade"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/upgrade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 20 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00176 | $0.03035 |
| Opus 5.5 | $0.00070 | $0.01214 |
| Sonnet 5.5 | $0.00035 | $0.00607 |
| Haiku 4.5 | $0.00018 | $0.00303 |
Grade A, and why
Upgrade 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upgrade
Contents: Ideal State · Intent Routing · Sources & Tools · Data & Config · Gotchas · Examples
Improves LifeOS from what the best practitioners are shipping around AI harnesses, Anthropic most importantly, and from the system's own reflections, as tiered, evidence-backed recommendations, and keeps every model LifeOS uses on its vendor's latest release. It also answers "what's new in AI" with a sourced news digest, a competitor report and an Anthropic updates digest scored for LifeOS impact (Intents/NewsDigest.md, which absorbed the retired AINews skill).
Signal comes from two directions, and a good run uses both: external (what Anthropic and the best practitioners are shipping) and internal (what the system's own reflections and failure history say is weak). The most valuable recommendations are usually where the two agree.
Ideal State
- Every recommendation shows the technique itself (quoted or code-blocked from its source), names the exact LifeOS file or component it improves, and carries a Prior Status backed by file:line evidence gathered in this run.
- Nothing already implemented, deferred by decision, or rejected is recommended again: implemented items appear under Skipped Content with their evidence, and an idea rejected in
MEMORY/KNOWLEDGE/REJECTED/or the Upgrades store returns only with a named reason the context changed. - No absence is reported that was not positively probed this run, and no adoption is recommended without a backward-compatibility check against current skills, hooks and workflows.
- A sweep report follows
References/OutputFormat.mdand arrives on its deadline, listing every source processed, skipped (with the reason) or timed out, so a missing lane lowers coverage without delaying or hiding it. - A "what's new in AI" request returns one deduplicated, sourced digest saved under
MEMORY/RESEARCH/, with any failed source named as unverified (Intents/NewsDigest.md). - After a model run, no lane sits behind its vendor's latest same-class release unless the report lists it as a decision with its exact one-line fix.
What ships with it
12 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/AlgorithmUpgrade.md 10 KB
- Intents/FindSources.md 4.5 KB
- Intents/MineReflections.md 5.8 KB
- Intents/Models.md 4.9 KB
- Intents/NewsDigest.md 13 KB
- Intents/ResearchUpgrade.md 5.3 KB
- Intents/Upgrade.md 11 KB
- References/ExampleReport.md 4.9 KB
- References/OutputFormat.md 6.9 KB
- Setup.md 4.4 KB
- sources.json 6.5 KB
- Tools/Anthropic.ts 43 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 Changed · +10 lines · +86 tokens per session c415b07ff5a1
- 1mo ago First seen · 94 lines · 90 tokens per session scan A e6a43f37c7ee
Upgrade is a skill published in the GitHub repository danielmiessler/LifeOS (19,616 stars, last pushed today), licensed MIT. It adds 176 tokens to every session and 3,035 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
long-running-work
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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.
shortcuts
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plan-devex-review
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aster-capabilities
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plan-tune
Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and…