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 tmchow/agent-skills --skill yt-dlp-cligit clone --depth 1 https://github.com/tmchow/agent-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/tmchow/agent-skills/yt-dlp-cli)<a href="https://agentmods.dev/skills/tmchow/agent-skills/yt-dlp-cli"><img src="https://agentmods.dev/badge/skills/tmchow/agent-skills/yt-dlp-cli.svg" alt="Measured on agentmods" 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 | $0.00075 | $0.01508 |
| Opus 5 | $0.00037 | $0.00754 |
| Sonnet 5 | $0.00015 | $0.00302 |
| Haiku 4.5 | $0.00007 | $0.00151 |
Grade A, and why
yt-dlp-cli 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 8d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
yt-dlp-cli - agent workflow
Result: After a user asks to download, extract, clip, subtitle, or archive media from a yt-dlp-supported URL, the agent has either produced the correct file(s) on disk and reported path/size/identity, or stopped on an explicit blocker (missing binary, auth required, rights unclear, playlist too large, YouTube bot wall).
Next consumer: The user (file on disk) and any later skill that transcribes/edits that file.
Done: File exists at the stated path, matches the requested job (video vs audio vs clip vs playlist range), and the agent reported what it did and how it verified. Or a named blocker with the next safe action.
Intent (changes the approach): Agents can already invoke yt-dlp <url> and
they do it badly. This skill exists to close those failure modes, not to teach
the CLI. Do not write a flag encyclopedia. Do not hide yt-dlp behind a Python
wrapper.
Autonomy envelope
Invoking this skill authorizes local inspection, downloading the requested
streaming-site URL, writing the resulting file(s) under the chosen destination,
and running required local ffmpeg postprocessing for the requested media
shape. It does not authorize downloading an unbounded playlist/channel, reading
browser cookies or auth files, bypassing unclear rights, or supplying user-only
inputs. Stop for confirmation only when rights are unclear, scope expands to a
full playlist/channel without an agreed range/archive, cookies/auth are needed,
or the next input can only come from the user.
Quote every URL in shell commands. Treat a watch URL as one video unless the
user explicitly asked for the playlist; keep --no-playlist on single-video
jobs. Check ffmpeg -version before merged video/audio, audio extraction or
conversion, subtitle embedding, clips, or SponsorBlock postprocessing; missing
ffmpeg is a blocker for those shapes.
Default download
For a single requested video, run this command first:
yt-dlp --no-playlist -P "<dir>" -o "%(title).200B [%(id)s].%(ext)s" --merge-output-format mp4 --print after_move:filepath "<url>"
What ships with it
2 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.
- 8d ago First seen · 132 lines · 75 tokens per session scan A fd7713319bcc
yt-dlp-cli is a skill published in the GitHub repository tmchow/agent-skills (64 stars, last pushed 21d ago), licensed MIT. It adds 75 tokens to every session and 1,508 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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