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 reysu/ai-life-skills --skill summarizegit clone --depth 1 https://github.com/reysu/ai-life-skillsWrote 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/reysu/ai-life-skills/summarize)<a href="https://agentmods.dev/skills/reysu/ai-life-skills/summarize"><img src="https://agentmods.dev/badge/skills/reysu/ai-life-skills/summarize/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/reysu/ai-life-skills/summarize"><img src="https://agentmods.dev/badge/skills/reysu/ai-life-skills/summarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high YARA Match · line 180 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
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 | $0.00081 | $0.08240 |
| Opus 5 | $0.00041 | $0.04120 |
| Sonnet 5 | $0.00016 | $0.01648 |
| Haiku 4.5 | $0.00008 | $0.00824 |
Grade A, and why
summarize 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 11d 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 — 608 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Summarize
Universal content summarizer. Takes any input — YouTube video, web article, whitepaper/PDF, epub book, podcast, lecture — and produces a rich, interlinked Obsidian summary note with reference notes for every concept mentioned.
Requirements
Vault structure — the skill expects these folders inside your Obsidian vault. Folder names are the defaults; override them in the Configuration block below if your vault uses different names.
| Folder | Purpose |
|---|---|
08 Summaries/ |
Where summary notes land |
07 References/ |
Concept / company / product / place notes |
04 People/ |
Person notes (creators, guests, mentioned people) |
02 Daily/YYYY/MM/ |
Daily notes, named MM-DD-YY ddd.md (e.g. 03-29-26 Sun.md) |
_Templates/ |
Note templates — skill installs new person template.md here on first run |
_Bases/ (optional) |
Obsidian Bases — only needed if you use the Bases plugin |
CLI tools — install these before first use, or let Step 0 walk you through it:
| Tool | Purpose | Install |
|---|---|---|
yt-dlp |
YouTube/podcast download + metadata + subs | brew install yt-dlp or pip install yt-dlp |
defuddle |
Web article extraction | npm install -g defuddle |
pdftotext |
PDF text extraction | brew install poppler |
pandoc |
EPUB / DOCX → markdown | brew install pandoc |
mlx_whisper (optional) |
Local audio transcription fallback | pip install mlx-whisper |
Alternative to mlx_whisper: set ELEVENLABS_API_KEY to use ElevenLabs Scribe for transcription.
Configuration
The skill reads these variables at runtime. Override any of them via environment variables, or edit the defaults here:
VAULT_ROOT = $VAULT_ROOT # auto-detected if not set (see Step 0a)
SUMMARIES_DIR = 08 Summaries
REFERENCES_DIR = 07 References
PEOPLE_DIR = 04 People
DAILY_DIR = 02 Daily
TEMPLATES_DIR = _Templates
BASES_DIR = _Bases
All paths below are relative to $VAULT_ROOT.
Trigger
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.
- 11d ago First seen · 608 lines · 81 tokens per session scan A 6ef7d4d83954
summarize is a skill published in the GitHub repository reysu/ai-life-skills (267 stars, last pushed 17d ago), licensed MIT. It adds 81 tokens to every session and 8,240 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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