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 tldrawgit 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/tldraw)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/tldraw"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/tldraw/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/tldraw"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/tldraw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 Data Exfiltration · line 24 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.
- medium Rogue Agent · line 9 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 | $0.00156 | $0.01450 |
| Opus 5.5 | $0.00062 | $0.00580 |
| Sonnet 5.5 | $0.00031 | $0.00290 |
| Haiku 4.5 | $0.00016 | $0.00145 |
Grade A, and why
Tldraw 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.
curl -s -X POST http://localhost:31337/notify \ How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tldraw
Deterministic read/write for tldraw canvases. The .tldr format is plain JSON ({tldrawFileFormatVersion: 1, schema, records}); Tools/Tldr.ts writes records that pass tldraw's own validator, so generated files open cleanly in the tldraw web editor, the VS Code tldraw extension, or the desktop app. Two directions: model → canvas (sketch diagrams) and canvas → model (read and structure a human's rough thinking).
Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Tldraw/
If this directory exists, load and apply any PREFERENCES.md found there (default canvas directory, preferred colors/register, default open surface). If not, proceed with defaults.
Voice Notification
When executing a workflow, do BOTH:
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running WORKFLOWNAME in Tldraw"}' \ > /dev/null 2>&1 & -
Output text notification:
Running **WorkflowName** in **Tldraw**...
Workflow Routing
| Workflow | Trigger | File |
|---|---|---|
| SketchDiagram | "sketch a diagram", "draw this on a canvas", "tldraw diagram" | Workflows/SketchDiagram.md |
| StructureCanvas | "structure my canvas", "organize my whiteboard", "read my canvas" | Workflows/StructureCanvas.md |
Quick Reference
- Tool:
bun ~/.claude/skills/Tldraw/Tools/Tldr.ts <create|inspect|add|remove|move|settext|validate> <file.tldr> [flags] - Record shapes, spec format, coordinate conventions:
References/TldrFormat.md - Vendored schema (tldraw 5.2.5):
References/SchemaSnapshot.json
Examples
Example 1: Diagram for a post
User: "Sketch the three-stage pipeline as a hand-drawn diagram"
→ Invokes SketchDiagram workflow
→ Writes spec JSON, runs Tldr.ts create + add, validates
→ Returns the .tldr path and how to open it; user nudges shapes and exports
What ships with it
5 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.
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 · 90 lines · 156 tokens per session scan A a51517a18d63
Tldraw is a skill published in the GitHub repository danielmiessler/LifeOS (19,557 stars, last pushed 1mo ago), licensed MIT. It adds 156 tokens to every session and 1,450 once invoked, about $0.0006 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 2026-09-03.
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