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 mupengi-bot/mupengism --skill yt-digestgit clone --depth 1 https://github.com/mupengi-bot/mupengismWrote 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/mupengi-bot/mupengism/yt-digest)<a href="https://agentmods.dev/skills/mupengi-bot/mupengism/yt-digest"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/yt-digest/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/mupengi-bot/mupengism/yt-digest"><img src="https://agentmods.dev/badge/skills/mupengi-bot/mupengism/yt-digest.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00328 |
| Opus 5 | $0.00000 | $0.00164 |
| Sonnet 5 | $0.00000 | $0.00066 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
yt-digest 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 12d 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.
What it actually says
yt-digest 🐧
Extract summaries, transcripts, and key moments from YouTube videos.
Features
- Transcript extraction: Get full transcript with timestamps
- Summary: AI-generated summary of video content
- Key moments: Extract chapters and highlights
- Audio output: Convert summary to audio (via sag skill)
Usage
# Get transcript
yt-digest transcript "https://youtube.com/watch?v=..."
# Get summary
yt-digest summary "https://youtube.com/watch?v=..."
# Get key moments/chapters
yt-digest chapters "https://youtube.com/watch?v=..."
# Full analysis
yt-digest analyze "https://youtube.com/watch?v=..."
Output
📺 Video: How to Build AI Agents
👤 Channel: TechChannel
⏱️ Duration: 15:32
## Summary
This video covers the basics of building AI agents...
## Key Moments
- 0:00 Introduction
- 2:30 Setting up the environment
- 5:45 Building the first agent
- 10:20 Advanced techniques
- 14:00 Conclusion
## Transcript (first 1000 chars)
...
Requirements
Uses YouTube's transcript API (no API key needed for public videos).
🐧 Built by 무펭이 — 무펭이즘(Mupengism) 생태계 스킬
What ships with it
5 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.
- 12d ago First seen · 59 lines · 0 tokens per session scan A d8f9e57019c3
yt-digest is a skill published in the GitHub repository mupengi-bot/mupengism (10 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 328 tokens. 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 2026-08-31.
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