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 agentmods add skills/danielmiessler/lifeos/fabricnpx skills add danielmiessler/LifeOS --skill fabricgit 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/fabric)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/fabric"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/fabric.svg" alt="Measured on agentmods" 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 | $0.00136 | $0.01881 |
| Opus 5 | $0.00068 | $0.00941 |
| Sonnet 5 | $0.00027 | $0.00376 |
| Haiku 4.5 | $0.00014 | $0.00188 |
Grade A, and why
Fabric 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 5d 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Fabric/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill 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 the WORKFLOWNAME workflow in the Fabric skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **Fabric** skill to ACTION...
Full documentation: ~/.claude/LIFEOS/DOCUMENTATION/Notifications/NotificationSystem.md
Fabric
What It Does
Runs any of 240+ specialized prompt patterns across extraction, summarization, analysis, creation, improvement, security, and rating. Common ones: extract_wisdom, create_threat_model, analyze_claims, improve_writing, review_code, mermaid, youtube_summary. Patterns run natively — LifeOS reads the pattern's system.md and applies it directly, no CLI round-trip. The fabric CLI is only used for YouTube transcripts (-y) and URL fallback (-u).
The Problem
Good prompts are scattered, hard to remember, and easy to rewrite badly from scratch each time. You want a threat model, a claims analysis, or a clean summary, but reconstructing the right prompt every time is slow and inconsistent. Calling an external CLI for each one adds latency and a dependency. This skill keeps 240+ proven patterns on hand and applies them directly as prompts, so the right structured prompt is one pattern name away.
How It Works
A prompt pattern system providing 240+ specialized patterns for content analysis, extraction, summarization, threat modeling, and transformation.
Patterns Location: Patterns/
What ships with it
60 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.
- Patterns/agility_story/system.md 827 B
- Patterns/agility_story/user.md 0 B
- Patterns/ai/system.md 485 B
- Patterns/analyze_answers/README.md 2.1 KB
- Patterns/analyze_answers/system.md 3.2 KB
- Patterns/analyze_bill_short/system.md 1.1 KB
- Patterns/analyze_bill/system.md 1.0 KB
- Patterns/analyze_candidates/system.md 1.2 KB
- Patterns/analyze_candidates/user.md 0 B
- Patterns/analyze_cfp_submission/system.md 2.4 KB
- Patterns/analyze_claims/system.md 2.7 KB
- Patterns/analyze_claims/user.md 0 B
- Patterns/analyze_comments/system.md 1.1 KB
- Patterns/analyze_debate/system.md 3.6 KB
- Patterns/analyze_email_headers/system.md 2.6 KB
- Patterns/analyze_email_headers/user.md 0 B
- Patterns/analyze_incident/system.md 1.8 KB
- Patterns/analyze_incident/user.md 0 B
- Patterns/analyze_interviewer_techniques/system.md 2.6 KB
- Patterns/analyze_logs/system.md 2.2 KB
- Patterns/analyze_malware/system.md 2.8 KB
- Patterns/analyze_military_strategy/system.md 2.2 KB
- Patterns/analyze_mistakes/system.md 1.9 KB
- Patterns/analyze_paper_simple/system.md 7.0 KB
- Patterns/analyze_paper/system.md 6.0 KB
- Patterns/analyze_paper/user.md 0 B
- Patterns/analyze_patent/system.md 3.6 KB
- Patterns/analyze_personality/system.md 1.4 KB
- Patterns/analyze_presentation/system.md 3.0 KB
- Patterns/analyze_product_feedback/system.md 2.0 KB
- Patterns/analyze_proposition/system.md 1.2 KB
- Patterns/analyze_proposition/user.md 0 B
- Patterns/analyze_prose_json/system.md 6.3 KB
- Patterns/analyze_prose_json/user.md 0 B
- Patterns/analyze_prose_pinker/system.md 7.3 KB
- Patterns/analyze_prose/system.md 4.8 KB
- Patterns/analyze_prose/user.md 0 B
- Patterns/analyze_risk/system.md 4.1 KB
- Patterns/analyze_sales_call/system.md 2.5 KB
- Patterns/analyze_spiritual_text/system.md 1.1 KB
- Patterns/analyze_spiritual_text/user.md 0 B
- Patterns/analyze_tech_impact/system.md 1.9 KB
- Patterns/analyze_tech_impact/user.md 0 B
- Patterns/analyze_terraform_plan/system.md 1.0 KB
- Patterns/analyze_threat_report_cmds/system.md 2.6 KB
- Patterns/analyze_threat_report_trends/system.md 1.2 KB
- Patterns/analyze_threat_report_trends/user.md 9 B
- Patterns/analyze_threat_report/system.md 2.2 KB
- Patterns/analyze_threat_report/user.md 9 B
- Patterns/answer_interview_question/system.md 2.2 KB
- Patterns/arbiter-create-ideal/system.md 590 B
- Patterns/arbiter-evaluate-quality/system.md 495 B
- Patterns/arbiter-general-evaluator/system.md 2.2 KB
- Patterns/arbiter-run-prompt/system.md 432 B
- Patterns/ask_secure_by_design_questions/system.md 1.9 KB
- Patterns/ask_uncle_duke/system.md 6.7 KB
- Patterns/capture_thinkers_work/system.md 2.4 KB
- Patterns/check_agreement/system.md 1.3 KB
- Patterns/check_agreement/user.md 0 B
- Patterns/clean_text/system.md 557 B
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.
- 5d ago First seen · 214 lines · 136 tokens per session scan A cdc9552a0041
Fabric is a skill published in the GitHub repository danielmiessler/LifeOS (18,872 stars, last pushed 21d ago), licensed MIT. It adds 136 tokens to every session and 1,881 once invoked, about $0.0007 per session on Opus 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.
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