Borrowing it
Nothing to install: this file belongs to ykdojo/yt-transcript. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ykdojo/yt-transcript/main/CLAUDE.mdgit clone --depth 1 https://github.com/ykdojo/yt-transcriptWrote 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/instructions/ykdojo/yt-transcript/claude-md)<a href="https://agentmods.dev/instructions/ykdojo/yt-transcript/claude-md"><img src="https://agentmods.dev/badge/instructions/ykdojo/yt-transcript/claude-md/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/instructions/ykdojo/yt-transcript/claude-md"><img src="https://agentmods.dev/badge/instructions/ykdojo/yt-transcript/claude-md.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 | $0.00498 | $0.00498 |
| Opus 5.5 | $0.00199 | $0.00199 |
| Sonnet 5.5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
yt-transcript CLAUDE.md 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 2mo 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
yt-transcript
Plugin providing a yt-transcript skill: plain-text transcripts for video URLs.
Layout
scripts/transcript.sh— the whole implementation. Captions first, Parakeet fallback.skills/yt-transcript/SKILL.md— how Claude invokes it..claude-plugin/— plugin and marketplace manifests. Bumpversionin both.
Constraints that are easy to break
- Never raise
CHUNK_SECSabove ~400. The model's context isn_audio_ctx=5000atsubsampling_factor=8, roughly 400 seconds. Beyond itparakeet-cliexits 0 and writes an empty file. This failure is silent, so the script checks for empty output rather than trusting the exit code. Keep that check. - Chunks overlap by
OVERLAP_SECSand the repeat is not stitched out. It is labelled in the output instead. Do not "fix" this by adding de-duplication:-otxtcarries no timestamps, so a dedupe is a fuzzy suffix/prefix match whose failure mode is dropping a whole sentence — worse than the single boundary word the overlap exists to save. The consumer is a model, which handles a marked repeat trivially. - The chunk loop cuts each piece with its own
-ss/-t. Thesegmentmuxer cannot produce overlapping output, so it is not an option here. - Do not swap in a Whisper model as a "safer" default. It was measured 7x slower than Parakeet on the target hardware at worse accuracy. See README for numbers.
- Captions must stay the first path. Local ASR is minutes; captions are seconds.
Testing
There is no test suite. Verify by hand against two URLs:
- One with captions, which should return in seconds and never invoke
parakeet-cli. - One without, which should chunk and report progress per chunk.
A useful regression check is that the transcript is non-empty and its word count is plausible for the video length, roughly 130-160 words per minute for speech. Note that overlap inflates the count by ~5%, so discount the marked spans before comparing.
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.
- 2mo ago First seen · 40 lines · 498 tokens per session scan A 1fd4a25fb922
yt-transcript CLAUDE.md is an instructions file published in the GitHub repository ykdojo/yt-transcript (2 stars, last pushed 3mo ago), licensed MIT. It adds 498 tokens to every session, about $0.0020 per session on Opus 5.5. 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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