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/Achitokun14/claude-universalWrote 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/achitokun14/claude-universal/ytdl)<a href="https://agentmods.dev/commands/achitokun14/claude-universal/ytdl"><img src="https://agentmods.dev/badge/commands/achitokun14/claude-universal/ytdl/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/achitokun14/claude-universal/ytdl"><img src="https://agentmods.dev/badge/commands/achitokun14/claude-universal/ytdl.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 | $0.00025 | $0.00561 |
| Opus 5 | $0.00013 | $0.00280 |
| Sonnet 5 | $0.00005 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
ytdl 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.
What it actually says
Convert a video/podcast URL into a searchable markdown entry in the llm-wiki.
Steps:
-
If
$ARGUMENTSis empty, ask: "What URL? (YouTube, podcast, any yt-dlp-supported source)". -
Verify prerequisites with Bash:
command -v yt-dlp— if missing, printpipx install yt-dlpand stop.command -v whisper-cliorcommand -v whisper.cppor check~/whisper.cpp/main— if missing, note transcription is skipped (still downloads audio).
-
Invoke the helper script which already handles the pipeline:
bash ~/Desktop/ACTIVITIES/claude-universal/scripts/ytdl-to-wiki.sh "$ARGUMENTS"If the helper is missing (first-time machine), fall back to:
slug=$(echo "$ARGUMENTS" | sha1sum | cut -c1-8) out="$HOME/Desktop/ACTIVITIES/llm-wiki/media/$(date +%Y%m%d)-$slug" mkdir -p "$out" yt-dlp --write-info-json --write-description -x --audio-format mp3 \ -o "$out/%(title)s.%(ext)s" "$ARGUMENTS" # transcribe first .mp3 whisper-cli -f "$out"/*.mp3 -otxt -of "$out/transcript" 2>/dev/null || true -
Produce the markdown entry at
~/Desktop/ACTIVITIES/llm-wiki/media/<date>-<slug>.md:# <video title> **Source:** $ARGUMENTS **Downloaded:** YYYY-MM-DD **Duration:** <from info.json> **Uploader:** <from info.json> ## Description <from yt-dlp --write-description> ## Transcript <whisper output, or "Transcription skipped — whisper.cpp not installed"> ## Key takeaways <if transcript exists, give 5 bullet summary> -
Append a pointer to today's wiki file:
- 🎥 [<title>](media/<date>-<slug>.md) — <url> -
Print:
✓ ytdl complete — llm-wiki/media/<date>-<slug>.md.
Large videos (>30 min): warn the user before transcribing and ask to proceed.
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 · 56 lines · 25 tokens per session scan A 773370c65425
ytdl is a command published in the GitHub repository Achitokun14/claude-universal (2 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 561 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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factory-pdf
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watch
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