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 iaynidn-sudo/ai-translation-tool --skill local-mic-mcpgit clone --depth 1 https://github.com/iaynidn-sudo/ai-translation-toolWrote 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/iaynidn-sudo/ai-translation-tool/local-mic-mcp)<a href="https://agentmods.dev/skills/iaynidn-sudo/ai-translation-tool/local-mic-mcp"><img src="https://agentmods.dev/badge/skills/iaynidn-sudo/ai-translation-tool/local-mic-mcp/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/iaynidn-sudo/ai-translation-tool/local-mic-mcp"><img src="https://agentmods.dev/badge/skills/iaynidn-sudo/ai-translation-tool/local-mic-mcp.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 | $0.00232 | $0.04360 |
| Opus 5 | $0.00116 | $0.02180 |
| Sonnet 5 | $0.00046 | $0.00872 |
| Haiku 4.5 | $0.00023 | $0.00436 |
Grade A, and why
local-mic-mcp 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
4 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.
- yesterday Changed · +94 lines 96ae7b98fb1a
- 11d ago First seen · 105 lines · 232 tokens per session scan A f159ef834987
local-mic-mcp is a skill published in the GitHub repository iaynidn-sudo/ai-translation-tool (1 stars, last pushed 2d ago), with no licence file. It adds 232 tokens to every session and 4,360 once invoked, about $0.0012 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.
Other skills, from other repositories
listen
Nested swiss-knife reference for local audio analysis — transcribe speech with Whisper, or extract musical features (tempo, key, dynamics, spectral profile) with librosa. Both run on the user's machine with no API key. Read this when the human asks you to transcribe a voice note, extract lyrics from singing, critique…
transcribe-tool
Audio transcription tool. Converts audio files to text with Whisper and optional LLM post-processing. Use when: transcribing meetings, podcasts, or extracting text from recorded audio files.
remotion-video
Use when you need to render an actual video file with Remotion — React compositions, the Composition/Sequence/TransitionSeries graph, transitions, burned-in word-by-word captions from a transcript, automatic silence removal, b-roll overlays, headless CI renders, and a final MP4 or MOV. NOT writing the script, hook…
talkthrough
Analyze narrated screen recordings and audio files — timestamped transcript, scene keyframes, OCR text, and wall-clock anchoring via the local talkthrough MCP server. Use when the user shares a recording or asks to triage feedback, extract meeting actions, or correlate a recording with logs.
voice-chatterbox-tts
Use when free local TTS with voice cloning using Chatterbox. Zero API costs, word-level timing, whisper integration. Clone any voice with 10-60s reference audio. Use when generating narration, voiceovers, or custom AI voices.
transcribe-audio
Use when a task requires reading, transcribing, or extracting content from audio or voice — WhatsApp PTT/voice notes (.opus/.ogg), meeting recordings, .mp3/.m4a/.wav/.mp4 files, or audio attachments inside a WhatsApp chat-export zip.