Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mayank-io/mstack/plugin install notesWrote 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/mayank-io/mstack/clean-transcript)<a href="https://agentmods.dev/skills/mayank-io/mstack/clean-transcript"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/clean-transcript/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/skills/mayank-io/mstack/clean-transcript"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/clean-transcript.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 | $0.00069 | $0.00992 |
| Opus 5.5 | $0.00028 | $0.00397 |
| Sonnet 5.5 | $0.00014 | $0.00198 |
| Haiku 4.5 | $0.00007 | $0.00099 |
Grade A, and why
clean-transcript scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Transcript
Raw transcripts arrive as timestamped fragments — auto-captions split sentences across timed segments and sprinkle [Music] markers through them. This skill merges them into readable prose without changing a single word.
Run the script. Do not clean by hand.
python3 "${CLAUDE_PLUGIN_ROOT}/skills/clean-transcript/scripts/clean.py" \
RAW.txt OUT.md [META.json] [--speakers "David Puell,Yassine Elmandjra"]
| Argument | Meaning |
|---|---|
RAW.txt |
raw transcript text — the transcript field from fetch:youtube-download, written to a file |
OUT.md |
where the cleaned Markdown goes |
META.json (optional) |
JSON with a chapters array; each entry needs start_time (or seconds) and title |
--speakers (optional) |
comma-separated names whose already-present labels get bolded |
It prints segments:, chapters inserted:, chars out: and any corruption warnings to stderr, then OUTPUT_FILE:<path> as the final stdout line. Chain on that line.
Why a script and not instructions: verbatim is a property you can either guarantee or merely request. This script only deletes timestamps and noise markers and inserts whitespace, headings and bold markers — so the output is provably the input's token stream minus deliberate deletions, and tests/test_clean.py::test_verbatim_invariant checks exactly that over a 50k-character fixture. An LLM asked to "clean but stay verbatim" silently fixes grammar, drops filler, and tightens sentences. That has produced bad captures before.
What it does and does not do
Deletes: leading timestamps (mm:ss and hh:mm:ss), and the noise markers [Music] [Applause] [Laughter] [Snorts] [Inaudible] [Silence] [Crosstalk] [Side conversation], case-insensitively.
Inserts: paragraph breaks (at ≥700 characters and a sentence terminator — both required, so a long unpunctuated run stays whole rather than being cut mid-sentence), ## Chapter Title headings, and **Name:** bolding for labels already in the text.
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.
- 1mo ago Changed · -1 tokens per session 79966d0f84f6
- 2mo ago First seen · 59 lines · 70 tokens per session scan A 78a5d9a8ee6f
clean-transcript is a skill published in the GitHub repository mayank-io/mstack (6 stars, last pushed 3d ago), licensed MIT. It adds 69 tokens to every session and 992 once invoked, about $0.0003 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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