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 cortexgit 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/cortex)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/cortex"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/cortex/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/cortex"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/cortex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 Excessive Agency · line 506 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 18 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 105 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 444 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 458 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00196 | $0.06113 |
| Opus 5.5 | $0.00078 | $0.02445 |
| Sonnet 5.5 | $0.00039 | $0.01223 |
| Haiku 4.5 | $0.00020 | $0.00611 |
Grade A, and why
Cortex 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.
- **URL:** Use WebFetch to retrieve and read the content. If WebFetch fails, try `curl -sL` via Bash. How it starts
The opening of the file, as written. The whole thing — 533 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cortex Skill
What It Does
Operate Cortex, the LifeOS memory system, from one skill. Two halves: the Knowledge Archive — a curated, typed graph of notes across six entity domains (People, Companies, Ideas, Research, Blogs, Books), every note shipping typed related: cross-links so the archive is a connected graph, not a pile of files — and recall — finding prior work (sessions, ISAs, conversations) by topic or date phrase. Operations cover search, add, harvest, develop, ingest, contradiction-finding, graph traversal, compressed retrieval, conversation mining, the weekly distill pass, and session recall.
The Problem
Notes you save in isolation are notes you never find again. A flat folder of facts has no way to tell you that two notes contradict each other, that a new source updates an old claim, or that an idea connects to a person and a company you wrote up months ago. Knowledge dies when it can't be retrieved or related. This archive forces every note into a typed schema with mandatory cross-links and ripples updates through related notes on ingest, so the connections are built in at write time instead of being reconstructed by hand later.
How It Works
Manage the LifeOS Knowledge Archive at ~/.claude/LIFEOS/MEMORY/KNOWLEDGE/. Each operation routes through a subcommand below; notes follow the archive schema and ship with typed cross-links.
Archive schema: ~/.claude/LIFEOS/MEMORY/KNOWLEDGE/_schema.md
Hard rule — never write KNOWLEDGE/ directly. All writes route through this skill (add, harvest, ingest, develop) — never cp, mv, Write, or Edit straight into the directory, even during migration or bulk import. The skill enforces typed frontmatter, mandatory cross-links, and domain classification; raw filesystem writes skip those guarantees and corrupt the graph silently (broken links don't fail loudly — they produce phantom entries retrieval misses). Migration tooling MUST call this skill per chunk, never shell out to cp. The one sanctioned exception is the Algorithm's LEARN phase, which writes to KNOWLEDGE/ directly because it holds the best context and applies the same schemas (see Gotchas).
What ships with it
1 file 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.
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 · 533 lines · 196 tokens per session scan A e01d09b2c2c1
Cortex is a skill published in the GitHub repository danielmiessler/LifeOS (19,501 stars, last pushed 1mo ago), licensed MIT. It adds 196 tokens to every session and 6,113 once invoked, about $0.0008 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.
Other skills, from other repositories
wiki-dashboard
Create dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
session-compact
AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.
daily-briefing
Proactive daily briefing that fires on a recurring schedule, pulls recent memory and workspace context, composes a structured summary (action items, progress, radar, next steps), and delivers it to all active channels. Enable with a time like "set up my daily briefing at 9am". Disable, reschedule, or check status at…
claude-reflect
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
[object Object]
Read, search, and open notes in the user's "{{GRAPHNAME}}" Reflect graph via the reflect CLI. Use when the user asks about their notes, daily notes, journal, or anything they may have written down in Reflect.