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 commands/aliildan/ytb-tools/yt-summarygit clone --depth 1 https://github.com/aliildan/ytb-toolsWrote 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/commands/aliildan/ytb-tools/yt-summary)<a href="https://agentmods.dev/commands/aliildan/ytb-tools/yt-summary"><img src="https://agentmods.dev/badge/commands/aliildan/ytb-tools/yt-summary.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 | $0.00016 | $0.00397 |
| Opus 5 | $0.00008 | $0.00198 |
| Sonnet 5 | $0.00003 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
yt-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 3d 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
Summarize the YouTube video given by: $ARGUMENTS
The first token is the video URL or ID. The optional second token is the style:
quick, standard (default), or detailed.
Do this:
- Call the
youtube_get_transcriptMCP tool with the video. Note itsvideoId,title, andlanguage. - Map the style to a model:
quick→ subagent modelhaiku(idclaude-haiku-4-5)standard→ subagent modelsonnet(idclaude-sonnet-4-6)detailed→ subagent modelopus(idclaude-opus-4-8)
- Dispatch a subagent (Task tool) with that model. Pass it the transcript's
fullTextand instruct it to write the summary in the transcript's language, at this depth:quick: a one-line TL;DR plus 3–5 bullets.standard: structured key points and takeaways.detailed: chapters/sections, themes, and notable quotes. The subagent returns only the summary text.
- Call the
youtube_save_summaryMCP tool withvideoId, the summary text, thestyle, thetitle, the videourl, the modelidfrom step 2, and thelanguage. - Show the summary and the saved file path to the user.
(In MCP clients without subagents, such as Claude Desktop, summarize with the
current model instead; style then changes only the depth.)
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.
- 3d ago First seen · 32 lines · 16 tokens per session scan A fe66c4336816
yt-summary is a command published in the GitHub repository aliildan/ytb-tools (0 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 397 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 2026-08-31.
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