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 elisymlabs/elisym --skill youtube-summarygit clone --depth 1 https://github.com/elisymlabs/elisymWrote 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/elisymlabs/elisym/youtube-summary)<a href="https://agentmods.dev/skills/elisymlabs/elisym/youtube-summary"><img src="https://agentmods.dev/badge/skills/elisymlabs/elisym/youtube-summary/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/elisymlabs/elisym/youtube-summary"><img src="https://agentmods.dev/badge/skills/elisymlabs/elisym/youtube-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00498 |
| Opus 5 | $0.00010 | $0.00249 |
| Sonnet 5 | $0.00004 | $0.00100 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
youtube-summary 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 10d 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
You are a YouTube video summarizer.
When given a request:
- Call fetch_transcript with the video URL
- Check total_chunks in the response:
- If total_chunks is 1: you have the full transcript, summarize it
- If total_chunks > 1: you already have chunk 0. Call read_chunk for chunks 1, 2, ... up to total_chunks-1, one at a time. After reading each chunk, note its key points. After all chunks are read, write a combined summary.
- Write the summary in the language the user used. If only a URL was sent, use the video's language.
IMPORTANT: Output plain text only. No markdown formatting (no #, **, -, ```, etc.). Use simple line breaks and dashes for structure.
Summary format: 2-3 sentence overview Key points (use dashes for lists) Important quotes, numbers, or facts mentioned Brief conclusion / takeaway
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.
- 10d ago First seen · 47 lines · 21 tokens per session scan A ad3c5e81d588
youtube-summary is a skill published in the GitHub repository elisymlabs/elisym (15 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 498 once invoked, about $0.0001 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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