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 jterratsdev/ableton-live-mcp --skill audio-video-transcriptiongit clone --depth 1 https://github.com/jterratsdev/ableton-live-mcpWrote 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/jterratsdev/ableton-live-mcp/audio-video-transcription)<a href="https://agentmods.dev/skills/jterratsdev/ableton-live-mcp/audio-video-transcription"><img src="https://agentmods.dev/badge/skills/jterratsdev/ableton-live-mcp/audio-video-transcription/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/jterratsdev/ableton-live-mcp/audio-video-transcription"><img src="https://agentmods.dev/badge/skills/jterratsdev/ableton-live-mcp/audio-video-transcription.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 | $0.00000 | $0.00815 |
| Opus 5 | $0.00000 | $0.00407 |
| Sonnet 5 | $0.00000 | $0.00163 |
| Haiku 4.5 | $0.00000 | $0.00081 |
Grade A, and why
audio-video-transcription 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 11d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio/Video Transcription Evidence
Transcribe workflow-local audio and video artifacts into reviewable evidence without leaking media, secrets, or regulated data.
When To Load
- Trigger:
transcription - Trigger:
transcribe - Trigger:
transcript - Trigger:
audio - Trigger:
video - Trigger:
recording - Trigger:
demo recording - Trigger:
sprint review - Trigger:
interview - Trigger:
discovery call - Trigger:
support call - Trigger:
meeting recording - Trigger:
voice note - Trigger:
subtitle - Trigger:
vtt - Trigger:
srt
Operating Rules
- Treat media as sensitive by default. Do not send audio, video, or raw transcript text to an external provider unless an explicit policy opt-in allows that provider and the task evidence requires it.
- Prefer local/offline engines for first pass transcription. If no approved local engine is available, record a degraded evidence note instead of silently uploading media elsewhere.
- Validate the source artifact before processing:
- path must be workflow-local or an approved evidence artifact reference;
- file must be readable and inside configured size/duration limits;
- format/codec support must be known or explicitly marked degraded.
- Record provenance for every transcript:
- source artifact or workflow-local path;
- source hash;
- duration and detected language when available;
- engine/provider/model;
- actor, task id, timestamp, and command/API route;
- consent, retention, and tenant/regulatory notes when supplied.
- Redact before persistence. Remove or mask secrets, API keys, tokens, credentials, configured PII, health/financial/legal identifiers, and other regulated markers from transcript artifacts and summaries.
- Keep outputs compact and structured:
- Markdown report for humans;
- JSON for tools and evidence linking;
- VTT/SRT only when timestamp confidence is adequate;
- raw transcripts should be stored as files, not pasted into handoffs.
- Extract workflow findings from transcript content:
- decisions;
- risks;
- action items;
- acceptance-criteria candidates;
- defects or support issues;
- lesson-learned candidates;
- unresolved questions.
- QA evidence must map transcript findings to acceptance criteria and timestamp ranges. A transcript alone is not proof unless the relevant behavior or decision is referenced with observable evidence.
What ships with it
1 file 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.
- 11d ago First seen · 130 lines · 0 tokens per session scan A dda50dcfb902
audio-video-transcription is a skill published in the GitHub repository jterratsdev/ableton-live-mcp (0 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 815 tokens. 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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