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 apifygit 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/apify)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/apify"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/apify/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/apify"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/apify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 21 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 | $0.00150 | $0.04020 |
| Opus 5.5 | $0.00060 | $0.01608 |
| Sonnet 5.5 | $0.00030 | $0.00804 |
| Haiku 4.5 | $0.00015 | $0.00402 |
Grade A, and why
Apify 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 — 520 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/Apify/
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 Apify skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **Apify** skill to ACTION...
This is not optional. Execute this curl command immediately upon skill invocation.
Apify - Social Media & Web Scraping
What It Does
Scrapes social platforms, business data, and e-commerce through Apify actors: Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps business search, Amazon, and general-purpose web crawling. TypeScript wrappers filter and transform the data in code before any of it reaches the model, so a 100-post scrape costs roughly what 10 posts would. Runs platforms in parallel for social-listening dashboards and chains Google Maps into LinkedIn for lead enrichment.
The Problem
Scraping through a raw MCP dumps every unfiltered result straight into model context — a single Instagram profile with 100 posts burns ~52,000 tokens, most of it noise you'll throw away. You usually want the top 10 posts, the negative reviews from the last week, the qualified leads with an email. Doing that filtering after the data hits the model is too late; the tokens are already spent. Filtering in code first cuts that 52,000 down to ~500.
How It Works
This skill is a file-based MCP — a code-first API wrapper that replaces token-heavy MCP protocol calls. You call an actor wrapper, filter and sort the result in TypeScript, and only the filtered slice reaches model context. That code-before-context step is where the 95-99% token savings come from.
What ships with it
27 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.
- .gitignore 39 B
- actors/business/google-maps.ts 11 KB runs code
- actors/business/index.ts 126 B runs code
- actors/ecommerce/amazon.ts 6.4 KB runs code
- actors/ecommerce/index.ts 99 B runs code
- actors/index.ts 1.5 KB runs code
- actors/social-media/facebook.ts 7.0 KB runs code
- actors/social-media/index.ts 403 B runs code
- actors/social-media/instagram.ts 9.5 KB runs code
- actors/social-media/linkedin.ts 12 KB runs code
- actors/social-media/tiktok.ts 7.5 KB runs code
- actors/social-media/twitter.ts 8.1 KB runs code
- actors/social-media/youtube.ts 8.0 KB runs code
- actors/web/index.ts 112 B runs code
- actors/web/web-scraper.ts 5.9 KB runs code
- examples/comparison-test.ts 7.9 KB runs code
- examples/instagram-scraper.ts 4.5 KB runs code
- examples/smoke-test.ts 2.3 KB runs code
- index.ts 6.2 KB runs code
- INTEGRATION.md 5.8 KB
- package.json 410 B
- README.md 8.2 KB
- skills/get-user-tweets.ts 3.4 KB runs code
- tsconfig.json 462 B
- types/common.ts 2.3 KB runs code
- types/index.ts 71 B runs code
- Workflows/Update.md 1.9 KB
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 · 520 lines · 150 tokens per session scan A 47f690c45016
Apify is a skill published in the GitHub repository danielmiessler/LifeOS (19,476 stars, last pushed 1mo ago), licensed MIT. It adds 150 tokens to every session and 4,020 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 2026-08-30.
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