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 suggestskillsgit 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/suggestskills)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/suggestskills"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/suggestskills/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/suggestskills"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/suggestskills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 Rogue Agent · line 4 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 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.
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 | $0.00172 | $0.01385 |
| Opus 5 | $0.00086 | $0.00692 |
| Sonnet 5 | $0.00034 | $0.00277 |
| Haiku 4.5 | $0.00017 | $0.00138 |
Grade A, and why
SuggestSkills 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 9d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SuggestSkills — what should I build next?
A read-only analytics pass over your own work. It answers one question: given what you have actually been doing and where you have been frustrated, is there a recurring problem that deserves its own skill and does not have one yet? It proposes; you decide; CreateSkill builds. It has no capability to create or edit a skill, by design.
Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/SuggestSkills/
If this directory exists, load and apply any PREFERENCES.md found there (default window, store paths, review location). 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 SuggestSkills"}' \ > /dev/null 2>&1 & -
Output text notification:
Running **WorkflowName** in **SuggestSkills**...
Workflow Routing
| Workflow | Trigger | File |
|---|---|---|
| Scan | "what skills should I build", "skill gap", "suggest skills", "am I missing a skill" | Workflows/Scan.md |
In short, Scan is:
- Gather deterministically. Run
Tools/CollectSignals.tsto emit a normalized corpus (recent sessions, low-rating frustrations with sentiment, and the skill/loop/workflow registry for dedup, plus warnings for any missing or malformed store). The LLM does not gather; it only judges what the tool returns, so two runs see the same evidence. - Cluster by pain. Group the corpus into recurring themes, carrying both how often each recurs AND how much frustration it drew.
- Dedup against real coverage. For each candidate, read the bodies of the skills/loops/workflows that might cover it. Name-match is not coverage; the covering unit must actually address the failure class.
- Verify with two independent passes, report the UNION. Do not require both passes to agree before surfacing a gap (strict intersection suppresses exactly the subtle discipline gaps this exists to find). Report every gap either pass flags, tagged with its agreement level (both = high confidence, one = needs review).
- Propose, never create. Emit a ranked shortlist with evidence (session count, frustration count, the specific recurring failure). Route accepted proposals to
CreateSkill. Redact secrets, client names, and personal paths from anything written out.
What ships with it
2 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.
- 9d ago First seen · 85 lines · 172 tokens per session scan A 0a3518845d9a
SuggestSkills is a skill published in the GitHub repository danielmiessler/LifeOS (18,932 stars, last pushed 4d ago), licensed MIT. It adds 172 tokens to every session and 1,385 once invoked, about $0.0009 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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Run Apple Shortcuts on this Mac: list the available shortcuts first, then run one by exact name with optional input. Use when the user wants to trigger a shortcut or asks what shortcuts exist.
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Use when the user asks to "continue every session", "send this to all windows", "/ar:tabw". Acts on Claude sessions across tmux windows; destructive to in-flight work, so it states what it will do before doing it.