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.
git clone --depth 1 https://github.com/dasein108/yt-mem-aiWrote 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/dasein108/yt-mem-ai/yt-summarize)<a href="https://agentmods.dev/commands/dasein108/yt-mem-ai/yt-summarize"><img src="https://agentmods.dev/badge/commands/dasein108/yt-mem-ai/yt-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/commands/dasein108/yt-mem-ai/yt-summarize"><img src="https://agentmods.dev/badge/commands/dasein108/yt-mem-ai/yt-summarize.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 | $0.00019 | $0.00095 |
| Opus 5 | $0.00010 | $0.00048 |
| Sonnet 5 | $0.00004 | $0.00019 |
| Haiku 4.5 | $0.00002 | $0.00010 |
Grade A, and why
yt-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 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
Use the yt-agent skill, scenario A (summarize), for: $ARGUMENTS
Ensure the video is ingested (captions → whisper), reuse a stored summary if
present, and persist the result with save-summary. Produce the artifact in the
video's original language.
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 · 11 lines · 19 tokens per session scan A 012e1338870e
yt-summarize is a command published in the GitHub repository dasein108/yt-mem-ai (7 stars, last pushed 18d ago), licensed MIT. It adds 19 tokens to every session and 95 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.
Other commands, from other repositories
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
init
Initialize configurations for Supabase local development.
migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.
handoff
Export a Waybill Bundle by default, or import one when requested.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.
t800-onboard
A command for newcomers that explains what is installed in Cursor globally and in the current project, plus what the T-800 team can do.