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/extractwisdomnpx skills add danielmiessler/LifeOS --skill extractwisdomgit 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/extractwisdom)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/extractwisdom"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/extractwisdom.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 | $0.00087 | $0.02843 |
| Opus 5 | $0.00044 | $0.01422 |
| Sonnet 5 | $0.00017 | $0.00569 |
| Haiku 4.5 | $0.00009 | $0.00284 |
Grade A, and why
ExtractWisdom scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 228 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/ExtractWisdom/
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.
ExtractWisdom — Dynamic Content Extraction
What It Does
Pulls the best ideas out of videos, podcasts, interviews, and articles. It reads the content first, detects what kinds of wisdom are actually in there, then builds custom sections around what it finds instead of forcing the same headers every time. Five depth levels from Instant to Comprehensive. Output always ends with a one-sentence takeaway, an "If You Only Have 2 Minutes" list, and references worth following.
The Problem
Static extraction templates force every piece of content into the same boxes — IDEAS, QUOTES, HABITS, FACTS — so a security talk and a business podcast come out looking identical and the real gems get flattened into generic bullets. The output reads like a book report, not like a smart friend telling you the parts that made them stop. This skill adapts its sections to the content and writes the points the way you'd actually say them out loud, so the contrarian takes and first-time revelations survive instead of getting watered down.
How It Works
Instead of static sections (IDEAS, QUOTES, HABITS...), this skill detects what wisdom domains actually exist in the content and builds custom sections around them.
A programming interview gets "Programming Philosophy" and "Developer Workflow Tips." A business podcast gets "Contrarian Business Takes" and "Money Philosophy." A security talk gets "Threat Model Insights" and "Defense Strategies." The sections adapt because the content dictates them.
When to Use
- Analyzing YouTube videos, podcasts, interviews, articles
- User says "extract wisdom", "what's interesting in this", "key takeaways"
- Processing any content where you want to capture the best stuff
- When standard extraction patterns miss the gems
What ships with it
1 file 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.
- 4d ago First seen · 228 lines · 87 tokens per session scan A fbfe4d61eeca
ExtractWisdom is a skill published in the GitHub repository danielmiessler/LifeOS (18,872 stars, last pushed 20d ago), licensed MIT. It adds 87 tokens to every session and 2,843 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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