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 rootcauseanalysisgit 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/rootcauseanalysis)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/rootcauseanalysis"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/rootcauseanalysis/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/rootcauseanalysis"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/rootcauseanalysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 23 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 | $0.00093 | $0.02621 |
| Opus 5.5 | $0.00037 | $0.01048 |
| Sonnet 5.5 | $0.00019 | $0.00524 |
| Haiku 4.5 | $0.00009 | $0.00262 |
Grade A, and why
RootCauseAnalysis 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 — 178 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/RootCauseAnalysis/
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.
MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)
You MUST send this notification BEFORE doing anything else when this skill is invoked.
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the RootCauseAnalysis skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **RootCauseAnalysis** skill to ACTION...
This is not optional. Execute this curl command immediately upon skill invocation.
RootCauseAnalysis Skill
What It Does
Investigates why something failed — past the proximate cause, down to the contributing factors and latent conditions that actually made the failure possible. It offers five structured methods (5 Whys, Fishbone, Postmortem, Fault Tree, Kepner-Tregoe) and ends with actionable changes that prevent a whole class of failure, not just the one incident. Grounded in Toyota Production System, Ishikawa, Reason's Swiss Cheese model, Gano's Apollo method, and Google SRE / Etsy blameless culture.
How It Works
The goal is not "the" root cause — that framing is almost always wrong. A good RCA ends with 3+ actionable, systemic contributing factors, named blamelessly, that prevent a class of failure — not a single blame target. Everything below is structure that pushes the analysis past the first plausible answer, past blame, and stops only at causes you can actually change.
Core Concept
Five axioms this skill operates on:
- Proximate cause ≠ root cause. "The deploy failed because X crashed" is usually where real analysis starts, not where it ends.
- There is rarely one cause. Incidents typically have multiple contributing factors — active failures (what a human did) and latent conditions (what the system allowed). James Reason's Swiss Cheese model.
- Humans are not root causes. "Operator error" is a stop sign for analysis, not a conclusion. If a human could make the mistake, the system allowed it. Go deeper.
- Actionability is the stop condition. A cause is "root enough" when it points to a change you can actually make. Go too shallow and you miss the fix; go too deep ("physics") and you can't act on it.
- RCA is a bias-fight. Hindsight bias, confirmation bias, single-cause bias, and outcome bias all actively corrupt investigations. Structure exists to resist them.
What ships with it
7 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 · 178 lines · 93 tokens per session scan A 0c46f478db84
RootCauseAnalysis is a skill published in the GitHub repository danielmiessler/LifeOS (19,501 stars, last pushed 1mo ago), licensed MIT. It adds 93 tokens to every session and 2,621 once invoked, about $0.0004 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.
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